{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {
    "_uuid": "cbb767a6ce7a389511a40311cd4f01f1b09ad270"
   },
   "source": [
    "# Costa Rican Household Poverty Level Prediction\n",
    "\n",
    "# 哥斯达黎加家庭贫困水平预测\n",
    "\n",
    "这个比赛的目的是，基于历史数据，使用机器学习方法来预测家庭的贫困水平．数据不大，非常适合单机操作．\n",
    "\n",
    "## Data Explanation\n",
    "\n",
    "比赛提供了两组数据**train.csv**和**test.csv**:\n",
    "\n",
    "- 每一行代表一个家庭成员的数据，（一个家庭可以有多个成员组成，只对户主进行预测）\n",
    "- train.csv,包含１４３列，含ID,Target和141个特征\n",
    "- test.csv,包含１４２列，不含Target\n",
    "- 户主代表一个家庭，只对户主进行评分\n",
    "\n",
    "关键字段：\n",
    "\n",
    "- Id : 每一个样本数据的一个标识\n",
    "- idhogar : 每一个家庭的唯一标识，拥有相同标识样本属于一个家庭\n",
    "- parentesco1 : 标识该成员是否为户主\n",
    "- Target : 家庭的贫困情况\n",
    "\n",
    "   - 1 = extreme poverty \n",
    "   - 2 = moderate poverty \n",
    "   - 3 = vulnerable households \n",
    "   - 4 = non vulnerable households\n",
    "\n",
    "\n",
    "*!*，原始数据是每个家庭成员的信息，最后提交的结果是每个家庭的贫困情况.\n",
    "\n",
    " 问题就简单介绍完了．下面开对数据进行探索分析"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "_uuid": "df5bf2d5d559636504db46b783c45e77d9bb8776"
   },
   "source": [
    "# Exploratory Data Analysis(EDA)\n",
    "\n",
    "用到的python库：\n",
    "\n",
    "- pandas\n",
    "- numpy\n",
    "- matplotlib\n",
    "- seaborn\n",
    "- sklearn"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import pandas as pd\n",
    "import seaborn as sns\n",
    "import matplotlib.pyplot as plt\n",
    "# set default params\n",
    "%matplotlib inline\n",
    "plt.rcParams['font.size'] = 18\n",
    "pd.options.display.max_columns = 10\n",
    "\n",
    "import warnings\n",
    "warnings.filterwarnings('ignore')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "数据概览"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Id</th>\n",
       "      <th>v2a1</th>\n",
       "      <th>hacdor</th>\n",
       "      <th>rooms</th>\n",
       "      <th>hacapo</th>\n",
       "      <th>...</th>\n",
       "      <th>SQBovercrowding</th>\n",
       "      <th>SQBdependency</th>\n",
       "      <th>SQBmeaned</th>\n",
       "      <th>agesq</th>\n",
       "      <th>Target</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>ID_279628684</td>\n",
       "      <td>190000.0</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>100.0</td>\n",
       "      <td>1849</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>ID_f29eb3ddd</td>\n",
       "      <td>135000.0</td>\n",
       "      <td>0</td>\n",
       "      <td>4</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>64.0</td>\n",
       "      <td>144.0</td>\n",
       "      <td>4489</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>ID_68de51c94</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>8</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.250000</td>\n",
       "      <td>64.0</td>\n",
       "      <td>121.0</td>\n",
       "      <td>8464</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>ID_d671db89c</td>\n",
       "      <td>180000.0</td>\n",
       "      <td>0</td>\n",
       "      <td>5</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>1.777778</td>\n",
       "      <td>1.0</td>\n",
       "      <td>121.0</td>\n",
       "      <td>289</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>ID_d56d6f5f5</td>\n",
       "      <td>180000.0</td>\n",
       "      <td>0</td>\n",
       "      <td>5</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>1.777778</td>\n",
       "      <td>1.0</td>\n",
       "      <td>121.0</td>\n",
       "      <td>1369</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 143 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "             Id      v2a1  hacdor  rooms  hacapo   ...    SQBovercrowding  \\\n",
       "0  ID_279628684  190000.0       0      3       0   ...           1.000000   \n",
       "1  ID_f29eb3ddd  135000.0       0      4       0   ...           1.000000   \n",
       "2  ID_68de51c94       NaN       0      8       0   ...           0.250000   \n",
       "3  ID_d671db89c  180000.0       0      5       0   ...           1.777778   \n",
       "4  ID_d56d6f5f5  180000.0       0      5       0   ...           1.777778   \n",
       "\n",
       "   SQBdependency  SQBmeaned  agesq  Target  \n",
       "0            0.0      100.0   1849       4  \n",
       "1           64.0      144.0   4489       4  \n",
       "2           64.0      121.0   8464       4  \n",
       "3            1.0      121.0    289       4  \n",
       "4            1.0      121.0   1369       4  \n",
       "\n",
       "[5 rows x 143 columns]"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "train = pd.read_csv('../train.csv')\n",
    "test = pd.read_csv('../test.csv')\n",
    "feature_desp = pd.read_csv('../feature_description.csv', error_bad_lines=False)\n",
    "feature_desp = feature_desp.set_index('F_name')\n",
    "train.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>description</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>F_name</th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>SQBhogar_nin</th>\n",
       "      <td>hogar_nin squared</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>SQBovercrowding</th>\n",
       "      <td>overcrowding squared</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>SQBdependency</th>\n",
       "      <td>dependency squared</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>SQBmeaned</th>\n",
       "      <td>square of the mean years of education of adul...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>agesq</th>\n",
       "      <td>Age squared</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                                       description\n",
       "F_name                                                            \n",
       "SQBhogar_nin                                     hogar_nin squared\n",
       "SQBovercrowding                               overcrowding squared\n",
       "SQBdependency                                   dependency squared\n",
       "SQBmeaned         square of the mean years of education of adul...\n",
       "agesq                                                  Age squared"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#特征的描述信息\n",
    "feature_desp.tail()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 9557 entries, 0 to 9556\n",
      "Columns: 143 entries, Id to Target\n",
      "dtypes: float64(8), int64(130), object(5)\n",
      "memory usage: 10.4+ MB\n"
     ]
    }
   ],
   "source": [
    "train.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "_uuid": "8ae7f4f9dc01ad847283246327c7db467ba76498"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 23856 entries, 0 to 23855\n",
      "Columns: 142 entries, Id to agesq\n",
      "dtypes: float64(8), int64(129), object(5)\n",
      "memory usage: 25.8+ MB\n"
     ]
    }
   ],
   "source": [
    "test.info()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "_uuid": "3c0d0640f3867d2c290ac58a55639fefb08875c0"
   },
   "source": [
    "# [int]类型特征unique value统计"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, 'Count of Unique Values in Integer Columns')"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x2520 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "train.select_dtypes(['int']).nunique().sort_values().plot(kind='barh',figsize=(12, 35))\n",
    "plt.grid(axis='x', color='r', linestyle='-.', linewidth=1)\n",
    "# 位置＆标签\n",
    "locations = np.array([0,2,20,40,60,80,100])\n",
    "labels = [0,2,20,40,60,80,100]\n",
    "plt.xticks(locations, labels)\n",
    "plt.xlabel('Number of Unique Values')\n",
    "plt.ylabel('Feature Name')\n",
    "plt.title('Count of Unique Values in Integer Columns')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "_uuid": "1a9db9a6caa3b77b6a6f0184644c1e11b2ed53d5"
   },
   "source": [
    "可以发现有些特征的count(unique_value) = 2,这些特征只有两个值，0/1,比如，parentesco1用来标识这个人是否为户主，０:不是，１：是．\n",
    "\n",
    "下面继续观察特征为浮点数类型变量的KDE核密度估计，同时根据target映射到不同的颜色．\n",
    "由于核密度估计方法不利用有关数据分布的先验知识，对数据分布不附加任何假定，是一种从数据样本本身出发研究数据分布特征的方法。"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# KDE(float)特征\n",
    "\n",
    "特征描述"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "_uuid": "c22a1876cf1d8a717b0baab8564acb4a7f531b51"
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 2016x864 with 8 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "from collections import OrderedDict\n",
    "\n",
    "plt.figure(figsize = (28, 12))\n",
    "\n",
    "# Color mapping\n",
    "colors = OrderedDict({1: 'red', 2: 'orange', 3: 'blue', 4: 'green'})\n",
    "label_mapping = OrderedDict({1: 'extreme', 2: 'moderate', 3: 'vulnerable', \n",
    "                               4: 'non vulnerable'})\n",
    "\n",
    "# float columns\n",
    "for i, col in enumerate(train.select_dtypes(['float'])):\n",
    "    ax = plt.subplot(4, 3, i + 1)\n",
    "    # Iterate through the poverty levels\n",
    "    for poverty_level, color in colors.items():\n",
    "        # 核密度估计\n",
    "        sns.kdeplot(train.loc[train['Target'] == poverty_level, col].dropna(), \n",
    "                    ax = ax, color = color, label = label_mapping[poverty_level])\n",
    "        \n",
    "    plt.title('%s Kernel Density Estimate'%(col.capitalize()))\n",
    "    plt.xlabel('%s'%col)\n",
    "    plt.ylabel('Density')\n",
    "\n",
    "plt.subplots_adjust(top = 2)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "_uuid": "79ec245f541336c564fdce3d013b0b988627b6e5"
   },
   "source": [
    "# (object)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "_uuid": "9b110b76084ba14045c4c69ce909148d91ce0ecc"
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Id</th>\n",
       "      <th>idhogar</th>\n",
       "      <th>dependency</th>\n",
       "      <th>edjefe</th>\n",
       "      <th>edjefa</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>ID_279628684</td>\n",
       "      <td>21eb7fcc1</td>\n",
       "      <td>no</td>\n",
       "      <td>10</td>\n",
       "      <td>no</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>ID_f29eb3ddd</td>\n",
       "      <td>0e5d7a658</td>\n",
       "      <td>8</td>\n",
       "      <td>12</td>\n",
       "      <td>no</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>ID_68de51c94</td>\n",
       "      <td>2c7317ea8</td>\n",
       "      <td>8</td>\n",
       "      <td>no</td>\n",
       "      <td>11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>ID_d671db89c</td>\n",
       "      <td>2b58d945f</td>\n",
       "      <td>yes</td>\n",
       "      <td>11</td>\n",
       "      <td>no</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>ID_d56d6f5f5</td>\n",
       "      <td>2b58d945f</td>\n",
       "      <td>yes</td>\n",
       "      <td>11</td>\n",
       "      <td>no</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "             Id    idhogar dependency edjefe edjefa\n",
       "0  ID_279628684  21eb7fcc1         no     10     no\n",
       "1  ID_f29eb3ddd  0e5d7a658          8     12     no\n",
       "2  ID_68de51c94  2c7317ea8          8     no     11\n",
       "3  ID_d671db89c  2b58d945f        yes     11     no\n",
       "4  ID_d56d6f5f5  2b58d945f        yes     11     no"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# (object)\n",
    "train.select_dtypes(['object']).head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "_uuid": "d1e660b7e06b81b61bec81a82be4a5854115d09a"
   },
   "source": [
    " `Id` 和 `idhogar` 是家庭成员和家庭的标识符．\n",
    " 下面是其他三个特征："
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>description</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>F_name</th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>dependency</th>\n",
       "      <td>Dependency rate calculated = (number of members of the household younger than 19 or older than 64)/(number of member of household between 19 and 64)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>edjefe</th>\n",
       "      <td>years of education of male head of household based on the interaction of escolari (years of education) head of household and gender yes=1 and no=0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>edjefa</th>\n",
       "      <td>years of education of female head of household based on the interaction of escolari (years of education) head of household and gender yes=1 and no=0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                                                                                                                                      description\n",
       "F_name                                                                                                                                                           \n",
       "dependency   Dependency rate calculated = (number of members of the household younger than 19 or older than 64)/(number of member of household between 19 and 64)\n",
       "edjefe         years of education of male head of household based on the interaction of escolari (years of education) head of household and gender yes=1 and no=0\n",
       "edjefa       years of education of female head of household based on the interaction of escolari (years of education) head of household and gender yes=1 and no=0"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pd.options.display.max_colwidth = 200\n",
    "pd.options.display.large_repr = 'truncate'\n",
    "\n",
    "feature_desp.loc[['dependency','edjefe','edjefa']]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "　　现在已经简单了解了一下数据，数据中的有些特征是家庭的信息，有的是家庭成员的个人信息．还有一些特征包含一些混合信息，比如上面的三个特征，有int和object两种，根据特征的描述信息，yes=1,no=0,dependency没有提示yes/no代表什么意思，但是这个特征记录的是，家中[19~64]的人的数量．所以姑且也把yes=1,no=0."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [],
   "source": [
    "train.dependency = train.dependency.replace({\"yes\": 1, \"no\": 0}).astype(np.float64)\n",
    "train.edjefa = train.edjefa.replace({\"yes\": 1, \"no\": 0}).astype(np.float64)\n",
    "train.edjefe = train.edjefe.replace({\"yes\": 1, \"no\": 0}).astype(np.float64)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### KDE(kernel density estimate)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1512x288 with 3 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize = (21, 4))\n",
    "for i, col in enumerate(['dependency','edjefe','edjefa']):\n",
    "    ax = plt.subplot(1, 3, i + 1)\n",
    "    # Iterate through the poverty levels\n",
    "    for poverty_level, color in colors.items():\n",
    "        # 核密度估计\n",
    "        sns.kdeplot(train.loc[train['Target'] == poverty_level, col].dropna(), \n",
    "                    ax = ax, color = color, label = label_mapping[poverty_level])\n",
    "        \n",
    "    plt.title('%s KDE'%(col.capitalize()))\n",
    "    plt.xlabel('%s'%col)\n",
    "    plt.ylabel('Density')\n",
    "\n",
    "plt.subplots_adjust()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "_uuid": "3fa22ed28b9c7b8ead9dfca5bd64940117619043"
   },
   "source": [
    "# Distribution of Target\n",
    "\n",
    "　　Target是每一个家庭的标记信息，接下来观察一下Target的分布信息，需要筛选出`parentecso1 == 1`的数据，parentecso = 1,表示该名家庭成员为一家之主,(一个家庭只有一个一家之主),所以parentecso = 1的家庭成员的target即代表：家庭的target."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, 'Poverty Level Distribution')"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "target_counts = train.loc[train.parentesco1 == 1].Target.value_counts()\n",
    "target_counts.plot.bar(figsize = (8, 6),rot = 0)\n",
    "plt.xlabel('Poverty Level')\n",
    "plt.ylabel('Target Counts')\n",
    "plt.xticks(np.arange(0, 4, 1), ['non vulnerable','moderate','vulnerable','extreme'])\n",
    "plt.title('Poverty Level Distribution')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "_uuid": "e57beb1ce93b494cd7cf7bf579082c69577f4d0d"
   },
   "source": [
    "很明显这是类别不平衡问题，属于extreme类的家庭比其他类别的总和还多．"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "_uuid": "79b0685ba14497e9b38485e60e97afca0aa97f34"
   },
   "source": [
    "## Addressing Wrong Target(纠错标签)\n",
    "\n",
    "　　正常情况是：如果一个家庭的Target是extreme,即为户主身份的成员Target为extreme,那么这个家庭中所有成员的Target应该是一致的extreme.但是，有些异常情况，属于同一个家庭的成员有多个不同的target,这种异常可能是人为的或者其他因素造成的．\n",
    "　　但是这个异常，事实上不用去修正，只要在训练模型时还是以户主的Target为准的．如果要修正这个的话，先要对数据进行分组，根据idhogar进行分组,检查Target是否一致．"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [],
   "source": [
    "# 家庭成员Target标记一致的家庭\n",
    "norm = train.groupby(by = 'idhogar')['Target'].apply(lambda x:x.nunique() == 1)\n",
    "# 有问题的\n",
    "# num_unique != 1\n",
    "unnorm = norm[norm == False]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "_uuid": "57bb878e9658bc5e8dd1db3f94ef8a10a7f05085"
   },
   "source": [
    "Checkout one unnorm example,家庭编号：0172ab1d9"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {
    "_uuid": "2704c47b89230ce6a10adadde8b995cd83193c4c"
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>idhogar</th>\n",
       "      <th>parentesco1</th>\n",
       "      <th>Target</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>7651</th>\n",
       "      <td>0172ab1d9</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7652</th>\n",
       "      <td>0172ab1d9</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7653</th>\n",
       "      <td>0172ab1d9</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7654</th>\n",
       "      <td>0172ab1d9</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7655</th>\n",
       "      <td>0172ab1d9</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "        idhogar  parentesco1  Target\n",
       "7651  0172ab1d9            0       3\n",
       "7652  0172ab1d9            0       2\n",
       "7653  0172ab1d9            0       3\n",
       "7654  0172ab1d9            1       3\n",
       "7655  0172ab1d9            0       2"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "train[train['idhogar'] == unnorm.index[0]][['idhogar', 'parentesco1', 'Target']]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "_uuid": "70b38e4ed54fee1d2223433db63aefecf0b68ee9"
   },
   "source": [
    "`parentesco1 == 1`的家庭成员为户主，户主的target即代表整个家庭的Target,正常情况下，其他家庭成员的Target应该与户主相同Target = 3.因此可以根据，户主的Target来修正其他家庭成员的Target.大多数正常情况下是这样，但是就怕有意外情况，这家没有户主，而且家庭成员Target不一致，这个时候怎么办，怎么确定这个家庭的Target.下面先检查一下有没有没有户主的情况．"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Check head of household"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "False    2973\n",
       "True       15\n",
       "Name: parentesco1, dtype: int64"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "(train.groupby(by = 'idhogar')['parentesco1'].sum() < 1).value_counts()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "15个家庭是没有户主的状态．下面是这个１５个家庭的部分信息"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
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       "\n",
       "    .dataframe tbody tr th {\n",
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       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>idhogar</th>\n",
       "      <th>parentesco1</th>\n",
       "      <th>Target</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>7706</th>\n",
       "      <td>03c6bdf85</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
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       "    <tr>\n",
       "      <th>7705</th>\n",
       "      <td>03c6bdf85</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
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       "    <tr>\n",
       "      <th>4935</th>\n",
       "      <td>09b195e7a</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7086</th>\n",
       "      <td>1367ab31d</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
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       "    <tr>\n",
       "      <th>9497</th>\n",
       "      <td>1bc617b23</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
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       "    <tr>\n",
       "      <th>5396</th>\n",
       "      <td>374ca5a19</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5391</th>\n",
       "      <td>61c10e099</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7438</th>\n",
       "      <td>6b1b2405f</td>\n",
       "      <td>0</td>\n",
       "      <td>4</td>\n",
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       "    <tr>\n",
       "      <th>7439</th>\n",
       "      <td>6b1b2405f</td>\n",
       "      <td>0</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7440</th>\n",
       "      <td>6b1b2405f</td>\n",
       "      <td>0</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4975</th>\n",
       "      <td>896fe6d3e</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8636</th>\n",
       "      <td>a0812ef17</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7756</th>\n",
       "      <td>ad687ad89</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7757</th>\n",
       "      <td>b1f4d89d7</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6444</th>\n",
       "      <td>bfd5067c2</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6443</th>\n",
       "      <td>bfd5067c2</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8431</th>\n",
       "      <td>c0c8a5013</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8432</th>\n",
       "      <td>c0c8a5013</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8433</th>\n",
       "      <td>c0c8a5013</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9489</th>\n",
       "      <td>d363d9183</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7463</th>\n",
       "      <td>f2bfa75c4</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7461</th>\n",
       "      <td>f2bfa75c4</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7462</th>\n",
       "      <td>f2bfa75c4</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "        idhogar  parentesco1  Target\n",
       "7706  03c6bdf85            0       3\n",
       "7705  03c6bdf85            0       3\n",
       "4935  09b195e7a            0       3\n",
       "7086  1367ab31d            0       3\n",
       "9497  1bc617b23            0       3\n",
       "5396  374ca5a19            0       3\n",
       "5391  61c10e099            0       3\n",
       "7438  6b1b2405f            0       4\n",
       "7439  6b1b2405f            0       4\n",
       "7440  6b1b2405f            0       4\n",
       "4975  896fe6d3e            0       3\n",
       "8636  a0812ef17            0       3\n",
       "7756  ad687ad89            0       3\n",
       "7757  b1f4d89d7            0       3\n",
       "6444  bfd5067c2            0       3\n",
       "6443  bfd5067c2            0       3\n",
       "8431  c0c8a5013            0       3\n",
       "8432  c0c8a5013            0       3\n",
       "8433  c0c8a5013            0       3\n",
       "9489  d363d9183            0       3\n",
       "7463  f2bfa75c4            0       3\n",
       "7461  f2bfa75c4            0       3\n",
       "7462  f2bfa75c4            0       3"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# groupby idhogar , count parentesco1\n",
    "count_head_of_household = train.groupby(by = 'idhogar')['parentesco1'].sum()\n",
    "\n",
    "# select don't have head of household family member\n",
    "households_no_head = train.loc[train.idhogar.isin(count_head_of_household[count_head_of_household == 0].index),:]    \n",
    "\n",
    "households_no_head[['idhogar', 'parentesco1', 'Target']].sort_values('idhogar')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "_uuid": "ccee331c96706123c7569fe94e5cacb478ea2168"
   },
   "source": [
    "上面是１５个家庭２３个家庭成员的部分信息,虽然这些家庭没有标记户主，但是家庭成员的target都是一致的．\n",
    "下面是这１５个没有户主家庭成员的target,unique_values信息．"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "idhogar\n",
       "03c6bdf85    1\n",
       "09b195e7a    1\n",
       "1367ab31d    1\n",
       "1bc617b23    1\n",
       "374ca5a19    1\n",
       "61c10e099    1\n",
       "6b1b2405f    1\n",
       "896fe6d3e    1\n",
       "a0812ef17    1\n",
       "ad687ad89    1\n",
       "b1f4d89d7    1\n",
       "bfd5067c2    1\n",
       "c0c8a5013    1\n",
       "d363d9183    1\n",
       "f2bfa75c4    1\n",
       "Name: Target, dtype: int64"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "households_no_head.groupby(by = 'idhogar')['Target'].apply(lambda x:x.nunique())"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "_uuid": "2771c641c24bb3ed21eb655320a4ad85066a2cd6"
   },
   "source": [
    "　　看来是多虑了，这１５个没有户主的家庭，家庭成员的Target标记是相同的．接下就只用纠正那些标记了户主的家庭，家庭成员有多种不同Target的数据．原则就是，家庭成员的Target应与户主相同．\n",
    "  \n",
    " # Fix wrong target"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "False    2988\n",
       "Name: Target, dtype: int64"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# unnorm.index : 不正常的家庭idhogar\n",
    "for household_id in unnorm.index:\n",
    "    # 找到户主的Target\n",
    "    real_target = int(train[(train.idhogar == household_id) & (train.parentesco1 == 1)].Target)\n",
    "    # 修正household的Target\n",
    "    train.loc[train.idhogar == household_id, 'Target'] = real_target\n",
    "# check check\n",
    "(train.groupby(by = 'idhogar')['Target'].apply(lambda x:x.nunique()) > 1).value_counts()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "_uuid": "e1a3ff50986a37c02fd7dbba994c7ebb47451724"
   },
   "source": [
    "## meaneduc,Target,gender之间的联系\n",
    "\n",
    "下面通过箱线图来观察一下，不同年龄人群受教育程度与贫困情况之间的联系"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {
    "_uuid": "3f4646bf438dca4cbf50faa61e999090c2346fdb"
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Extract the labels\n",
    "label_df = train[train['parentesco1'] == 1].copy()\n",
    "\n",
    "# Create a gender mapping\n",
    "label_df['gender'] = label_df['male'].replace({1: 'M', 0: 'F'})\n",
    "\n",
    "plt.figure(figsize = (8, 6))\n",
    "\n",
    "# Boxplot\n",
    "sns.boxplot(x = 'Target', y = 'meaneduc', hue = 'gender', data = label_df)\n",
    "plt.title('Mean Education vs Target by Gender')\n",
    "plt.grid(axis = 'y', color = 'green', linestyle ='-.')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "_uuid": "2e6adda540eb1e495c5bdde1893dd2328db3a5cb"
   },
   "source": [
    "　　可以发现贫困级别为１:extreme极度贫困的家庭，无论是男性还是女性户主平均受教育程度都是最低的．\n",
    "随着受教育程度的升高，贫困水平有所下降，可以发现edu和povert是呈现反比的．\n",
    "无论哪个级别贫困家庭，户主为女性的平均受教育程度要略高与男性户主，\n",
    "下面是根据性别和贫困水平的分组统计信息．"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {
    "_uuid": "2b21fe13a14557a69a069cce2df51ed0da3bd175"
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th>mean</th>\n",
       "      <th>count</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>gender</th>\n",
       "      <th>Target</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th rowspan=\"4\" valign=\"top\">F</th>\n",
       "      <th>1</th>\n",
       "      <td>7.332627</td>\n",
       "      <td>118</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>7.371026</td>\n",
       "      <td>195</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>7.075253</td>\n",
       "      <td>132</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>10.575066</td>\n",
       "      <td>717</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"4\" valign=\"top\">M</th>\n",
       "      <th>1</th>\n",
       "      <td>5.965545</td>\n",
       "      <td>104</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>6.704251</td>\n",
       "      <td>247</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>6.983483</td>\n",
       "      <td>223</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>10.149090</td>\n",
       "      <td>1234</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                    mean  count\n",
       "gender Target                  \n",
       "F      1        7.332627    118\n",
       "       2        7.371026    195\n",
       "       3        7.075253    132\n",
       "       4       10.575066    717\n",
       "M      1        5.965545    104\n",
       "       2        6.704251    247\n",
       "       3        6.983483    223\n",
       "       4       10.149090   1234"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "label_df.groupby(['gender', 'Target'])['meaneduc'].agg(['mean', 'count'])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "_uuid": "047de05a6279eafce4ddc9e334fd1c0572c92f5d"
   },
   "source": [
    "violin plot 是 box plot和数据分布密度的组合图，Box Plots在数据显示方面受到限制，因为它们的视觉简洁性往往会隐藏有关数据中值如何分布的重要细节。例如，使用Box Plots，您无法查看分布是双峰还是多峰。中心的粗黑条表示四分位数范围，从中延伸的细黑线表示95％置信区间，中间白点是中位数．"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {
    "_uuid": "fe438862ca8aca6527cbadfeba45f285a15ec3b8"
   },
   "outputs": [
    {
     "data": {
      "image/png": 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SZI3zBSXxOUoIqbPTqSWnJm+rXFnHX3hRT4r1qElcFOkC2mrV69RzhNvOIYWtcb6gJD5HidHEJVJLPPa3sEoSj299W6X3gIyKJXGBelGsNlM/lsRtQDhsjdePkvgcJYqUxFXqB9MqSTw+cVMStx71NQtb5P2mJ/WCxnItcQe3zPmCkvgcxDmPnUDCFhnX0ZPaLWaVdZ9WrN9MRqmJiy7ArDenY7QlTmPixECyLMeufOlEAoRla7XE1cRtZ9aJmYyyWs+Pnk6dOgXAgi1xO0eYxsSJUR5syVHBCVmK/D2s0qpVT3g2Zp2THxlFSXxUT08PAOtM0IxP4rJFXj9K4nOQFdc66kktOGGVJB6Pkrj1qO8zmSq2xT57gYA1VsmoPZcuO4ckW+Pc6TA6AKK9WJUkcEoCGF2va7UymAoAm42us61m9KLRWu83PagXNCOBEYMjSYwa770ROySbNS76EzpDMMYOMcZy427nMcYO6BcWmY347lirJS49KAqP/muNv4WauGXFOktzyCj1fUYX0KN/i5GRgMGRJEZN4gHJZpmeu0Qv8ws55371Bue8H0CxPiERrTAAoCRgOXa7fcLviTXEJ/F0T+RqIgwGrJHE1eFHG/icS+IKY2y+eoMxtgBAer87LYBeIGtyOEZHuSiJEyuTJLXksWiJ5WZq4mYMkCySxBMdE/9bAKcYY8cRaeA9A+B13aIis6J2wSocsFFLPPb3sMr4cnwSd7lcBkZCZotzntZDInLc5LDh4WHk5+cbGM30YkkckTkNVnj9EkrinPP9jLF1AJ6I/ug7nPMe/cIis6G23jiY6d+AqWC1v4HT6Yx9H5/QifVY7b2nNVmWwZkNjCsYGhqyThKPvmyKopi+NyyhMwRj7Nnot4PRf1cxxsA5P6FPWGQ24luclAQAuyPyIbTK3yI+icd/T6whPnGncxIXRTEyJ8DuAGQFg4OD0z/IYJIkgSE6nyh6e04kcQD/Je57D4BPAagF8ILmEZFZi3/TWaULWU9q8jb7h1FFSdza1MSdzgkcAIaGhgAAnDnAEMbAwIDBEU1PkqQH5gJbYXJbot3pX4q/zRirBPDPUz0mep/fAChBZI7Vm5zzHzPG8gFsBrAQwG0A/zY6251oJD5ZOSySuPTkckbGla2SECmJW1ssiRsch9H8/uiCJrsDkGCdJI7R7nQrFMuaaTOtHcDKae4jAfjPnPNViIyl/0fG2CoA/w3AEc75MgBHoreJhmw2W2xCm1Van3pyOSPXqlZJiPHd/laJmYxSe7/SvResvz/SNuO2yPs5ltRNLBwOP9CdboW9JxIdE/8JRlcs2QCsBVA31WM45/cB3I9+P8QYawRQDuDLAJ6P3u1dAMcAfDfJuMk07A47lLBkmXFgPbndbgDWmelNS8ysTU3ezJbebfFY0mZ2MIfTEklcEAQwBtgYj902u0TP8DVx30sA3uecn070SRhjCwE8BuA8gJJoggeADkS624nGYq0Be3q3BoDR5G3FJE4XYdZjtSWNehltidsAZwb6+voMjmh6oVAINsZjLXErbNyS6Jj4uzN9AsaYD8B2RJalDcZP9uCcc8bYhDVJGGOvI7oWff78+RPdhUzBHuvSo5ac2pq1ShKPP/mneyKwolhL3OA4jDaatG2Q7Bno7e01NJ5EBAIB2BApWQ0AIyPmr/k+ZRJnjNVjisJfnPM10zzeiUgC38Q53xH9cSdjrJRzfp8xVgqga5JjvwngTQDYsGEDFR9LEo3LjVL/BlYZX45/zag73XqoJR7R09MDMDvAAMWRga5u85cWGfD3w8447NEkboVlcdO1xF+O/vsfo//+Nvrvn2Caqp4s8k5+C0Aj5/yHcb/aDeCrAP539N9dyQRslNu3b6OgoABZWVlGh5IQtRWQ7stcgNGNKKzSEqfXzNpiLfE0fx27u3vAWeRvwV1e9PXeMjii6Q0M+GG3AQ4bj942/4z6KS8VOedtnPM2AJ/nnP9Xznl99Ou7AH53mmM/DeDfA3iBMXYp+vUSIsn784yxGwA+F71tapIk4Wtf+xr+/u//3uhQkpbuGzDEs0pLPN1P/lYXa4mn+evY2dUJHh3OU5yZCIWCGB4eNjiqyUmShH7/IBxxLfGeHvP3HiQ6a4Yxxp5WJ7Mxxp7C9BcApzD5sNBnEw/ReGrh/urqaoMjSZwc20nJGttvpoJVJolZZctUMo00TuKc82h3euQzx12ZAICuri74fD4jQ5tUZ2cnFEWB0xYZE8/zAHfv3jU6rGklelb7MwBvM8Zyorf9AL6uT0jmY4UF/2OpicAKFYdSxSpJPL73hF4/66GelMjM9LAoAtHlnYo7krg7OjqwePFiI0OblJqwXfbI56/YE8a9uZLEOee1AB5Vkzjn3PwDBRqywhZ6Y4WjFx7hsPUuQPRilYlG8ReNlMStJ3YRlsZDWffvR1YRq93p3B2ZS9TR0WFYTNNpbW0FALij4+HlmTLO32yFoiimPnckFBljrIQx9haADzjnA4yxVYyxP9M5NtOwQtWeeLIsQ5YjLXHRAsUKUsXMH8R48Uncir1AJCJ9U3hcN7Tane7wgNmdpu6evnbtGkq8HGppjSXZEkYCQbS1tRkb2DQSPau9A+AAgLLo7esAvqNHQGZkhao98eILFIQsFjt5sOfHaheQZHQoK50nld65cwdgLNYSB2OQPTmmTYicc1y7Wo+l2aOfvaU5kc/etWvXjAorIYkm8ULO+RYACgBwziUAadPPZ4WqPfECgQAAIMupIBQS0vpkEs8qE8bik7jVLiDJaPJO58/d7du3AU/2A5P7ZE8OWm+ac5lZS0sL+v0DWJE7etE8L0NBrgc4f/68gZFNL9EkPsIYK0C0h4gx9gSAtBkXt1oSV5dxFHkUKJzHknq6s0oSf6AnxWLvPT20trbGxiutQJ3HIFvk/aaHxqZmhDMKHviZ7C1Af1+vKcuvnjx5EowBjxWOXkAzBqwvCOHChfOm/hwmmsT/GpEiLUsYY6cR2WL0W7pFZTJmfgEnou7jW5wROZlYoepQKlilazoYDE74fbr6i7/4C3zjG98wOoyEqUlcSdNJiX19fejt6Yac+WASV7yR201NTUaENSnOOU4cP4aHciRkux7sPVlfJEIQRFMvL04oiXPO6wA8B+ApAN8AsJpzfkXPwMzEaklc3S2oLDNyErFC1SE9qd2aVkniar1mGwP1oiDyullpgp+axCU5PVviFy9eBADIvnkP/FzOLAJsdly6dMmIsCbV0NCA22138ETx+PP8itwwct3Axx/vMSCyxCQzXfdTAB4FsA7Aa4yxP9UnJPOJbw1ZYZxL3T2owic/cDvdWWWp4MjICOwMyHEzS2zAQB6kJnHOeVouEayrqwNzuKGMaYnD7oDsK0Z1Tc3EDzTIhx9+CI8DeGre+PknDhvwXGkA58+fjy2bM5tEl5j9FsD3AXwGwOPRrw06xmUq8UncComgr68PDMB8X6T1YoXdg1LBKj0qw8PDyHQxZDqU2NAIsY74Hh8r9SBoQZIknDx1GmJWKcDGp5dwdgVu3bxpmoTY39+PY0er8HRJCBmTVE35nTIBDMCuXebc5iPRlvgGAE9zzv+Kc/6t6Ne39QzMTKw2RtnT04NsN0O+W4ndTmfqSdUKrx0QmdPgdSjIdEgYGqL5DFYTX5vBChf9Wrp8+TIGB/yQ8hdN+HspfyEAoKqqKoVRTW7Lli2QJBmfr5j83JDvUfB4kYBdH+405fyiRJP4VQDzpr3XHGW1JN7V1YV8twSHLdIl293dbXRIhhoejnRJW+G1AyJzGrIcMnwODj8NhViOGE7fdf779+8Hc7gg5VRO+HvuzoLiK8a+/fsNH5ocGBjAhzt34FPFAsoyp56/8MrCIIIhAdu3b09RdIlLeJ04gAbG2AHG2G71S8/AzMRySbyzA/nuSDdevltCZ2enwREZazg6rmyV8WV/fx+ynAqyXAoGBvxGh0OSlK4tcb/fj6qjRyHkLwHsk1f0FoqWo/2TT2IT4Iyybds2BEMCvrxw+nN6pU/GhiIB27ZuMd0QV6JJ/H8A+AqAfwDwg7ivtBA/lmr24hucc3R2dqLQE7myLHBL6Oowx/iTUUai6+Ytk8T9/chyKsh2KhgYGLLM+nYSIQoC7CzSyjT7+UJLu3fvhixJCBevnPJ+Uv4iMGcGtm7dmqLIxuvr68PWLZvxqWIhNgF4Ol9ZFEQgEMT777+vc3TJSXSJ2fGJvvQOziziP4hm/1AODAwgJIi4PejAxuteFHgUdHZ1Gd51ZaThkUgSHzTZFfREZFnGwMAQctwKsl0cCuemHIdLlfgLGKvM9A4JAnzO9ErigUAAmzdvgZRbCSUjd+o72xwIFa3A2bNncePGjdQEOMZvfvMbiKKIP1ic+BLO+T4ZT5YI2L5tq6nmGSU6O/0Jxlg1Y2yYMSYyxmTGWNqcWaxUBlPtOh8OM9wZdqDQo0AQw2m7VlwUxciWiAAGB82fxAcHB6FwjhwXR250YqIZK1ylipUuoFWCIMDnjLx2VlkRMVs7duzAyMgwhNK1Cd1fLFkF5nDjnXfe0TewCdy9excffbQbz5WGUOpNrpfrDxYHIElh/PrXv9YpuuQl2p3+UwCvAbgBIAPA/w3gZ3oFZTaiKMZ2JDL7RJWuri4AgDP6yhZ6Iq0XM28BqCe1BC0A041lTURN2LkuBTkuSuJWm4/COYcgiMhOo5a43+/Hpk3vRVrhvqLEHuRwI1SyGqdPn0Z9fb2+AY7x1lu/gh0KvrIo+UJKRRkKPlsWxL59+0yzmUvCxV445y0A7JxzmXP+awAv6heWuUiSBNidAMyfxNWWuDO6J25BdGxcTe7pRk3ciisTw8PmT+Lqmv5sSuIAHkzcVqheJ4oiFM6RFX3trHDhMVvvvPMOgqEghIrHk3qcWLIacGfipz/7WcqG+5qbm1FVdRQvVgSQ557Zc76yMAi3TcGvfvUrjaObmUSTeIAx5gJwiTH2fxhj/08Sj7W8cDgMbnPEvjezrq4uuOyI7YmrJvF0naEeS+LuLEjhsOlbRtQSf1B84rZCQlRjzHWlR3d6a2srdu/eDbFo+fRj4WPZnQiWrUNzUxMOHjyoT4Bj/PLNX8DnAl5aMPPXJdvF8XuVAZw8eRINDQ0aRjcziSbifx+97zcBjACoBPAHegVlNmFJAqJJ3OyTa7q7u5HvGb3tc3A47elb8EWdFMbdWQDM36WutsRz3QoyHIDbwdK64l58ErfC6gI1aasbaVjhwmOmOOf44Y9+BG53QShfP6NjSAVLofiK8bN/fUP3z+aVK1dQU1uHl+ePwOuYXcv/xcogslzAr3/9tkbRzVyis9PbADAApZzz/8k5/+to93pakGU5trm92ZN4T3c3cp2jvQWMAfme9E3i6pi4Ek3i8WPkZtTX14cMB4M78nZDroundRKPT9xWSOJq0s5Jg+70AwcO4NrVqwiWbwAc7pkdhDEE5z+JwcEB3bunf/3228hxA58tn33viMcBvFQ5gurqmpSP6Y+V6Oz0LwG4BGB/9PbadCr2oihKrA6w2dfs9vX2xLryVNkOCX196ZkI1BO/4sp84LZZ9fX1ISdurC7HGU7rJB5/0WWFMXE1aWfP8STu9/vx05/9DEpWCcKFy2Z1LCWzAGLxSuzavRvXrl3TKMIHXblyBRcvXcLL80diF8iz9bmKELLdwLvvvqPNAWcomWIvnwLgBwDO+SUAExfHnYMUhUP9U5l9vXW/3x87gahyXDJ607Qlrp74uUWSeG9vL3LielJyXAr6e9PztQMeTOJWWC+vJu0MO4fbPneT+BtvvIHhkREEFzwV6e6bJaF8PeDy4p++/wNdNo3ZsnkzfC7g+TLt5ii47cAXykdQU1OLmzdvanbcZCWaxMOc87ELjc2dzTTEFSX2RjVzEhdFEYFgaNzG9lnO9C0YEgwGAcbAHZGJAmZvzfX19sS6YgEgx62gL43rp8e/b80+nwEYTdoeB4fbweZkEr948SIOHDgAoeRhKBl52hzU7kSw8tO4feum5vXJ29vbcfrMabxQGtCsFa76nXIBLjsMrT6XaBK/xhj7dwDsjLFljLGfADijY1ymwuOuV8ycxNWTnFpoQuVzKhgcGjZ17HoJBoNgdmdsdYHZZ6fEcUtPAAAgAElEQVT39/c/kMRzXRzDI4G0qsEdb2BgAMzpBnN6LFGwSL1I9Ng5Mhx8ziVxURTx/R/8APBkQyxLrLBLoqTcBZBy5+Ott97WdDXNrl27YGOR7m+t+Zwcn5kXwuFDBw1rKCWaxL8FYDUAAcB7AAYA/Ce9gjIlDbqM9KZ2PY6deel1cCiKMudOKIkQRTGysiCaxM285EcQBIwEgsiJ60nJTvNlZv39/eDODHCnxxJ/g1hL3M7hsSmm7/lJ1o4dO3C3vR2Byk/HPlOaYQyh+U8gLMt44403NDmkJEk4fOgg1hYIyJ3huvDpPF8WQliScezYMV2OP51Ek/iq6JcDgAfAlwFU6xWUmZm5Nasm8YwJkjhg/vFgPUSSuD22usDM6/zVJPVAd3r0+/407VLv7umBZPdAsmdYYoVFfEvcbZPnVBLv7+/Hu+/+BlJOJeTcibcanS3u9iFU8jCOHTuGK1euzPp4Fy9eRL9/AE+V6NeTtcAnoyyT4/Ch1Kx1HyvRJL4JwNsA/g2Al6NfX9IrKDMyb+oeFd8KiKfenksnlERJkgTObLHVBVZN4lZoheqhs6MT3JUJ7spER6f5qw4GAgEwAC575GJ6xORLGpOxceNGBEMhCJXJVWZLljhvDeD24V/feGPWjaajR48iwwk8WqBfEmcMeKokiCv1Vw250Ew0iXdzzj/inN/inLepX7pGRpI2aRJ3zP3CE5ORJCmSwKNJ3Mzr/GPV2twKNl73YuN1L3KjXevpmMTD4TB6e3uguLOguH3o7+s19UUYEEnidhvw3g0vMuwcgcDc6P3q6+uLVGYrWJJ8ZbZk2R0IzVuDpsbGWe85XldTjVW5kclneloTvUgwYo/0RJP43zHGfsUYe40x9m/UL10jMxEzd6HHmyyJu+3pncQ5Y7E5DXosX9FKfMnVO8MO3Bl2INulgCE9i/V0dnaCcx5N4lngnOP+/ftGhzUldUjrzrAj0hKfI0NY27dvR1iSIJauScnzhQuXAu5MbNy4ccbHuH//Pjq6urEqT//P/HyfjEwXMySJJzoz4T8AWAHACUDt6+MAdugRlNlEcrj5l5ipSdo9LolH/jXzpC69RFreNqivn5mL9XR3d8PG8MASQYcNyHanZ+nV9vZ2AAB3Z0cuxKI/mz9/vpFhTWlkZAR2Fnn9vA6OkTkwhCXLMj7euw9STgW4Jyc1T2pzQChcjrq6OnR0dGDevHlJH0KtpLYyV//eGxsDlmcLuHzJvC3xxznnGzjnX+Wc/4fo19d1jcxEFEUGbOav2KYm6bFJXG2Zp2MSVxQFHNGWOLOZuju9u7sbuZ7ICSFevltCd3e3MUEZSN3qUc7IhRJNHnfu3DEypGkNDQ3BBjWJKwiHJct/7urq6uDv70O4YHaV2ZIVLlgCADh06NCMHn/r1i3YbUCpNzWf+UqfhPv3O1K+jDXRJH6GMbZK10hMTJYVgJm/dro6cW1sQQN3mk9sgzgC951zYDa7qbvTuzo7UeAaH1++W0Jnh7m7kfXQ1tYG5sqI1OV2uMFcXtPs4TyZwQE/7NGLMF90T3GrF1o6d+4cmN0BKbcipc/L3VlQMotw9uy5GT2+ra0N87xKbEdHvZV5ZSicx3qQUiXR/94TiGxD2swYu8IYq2eMzX7+v0VI0uhWpGZOAiMjI8hwsHEtuXRfYsYUCbZAH2Czmbpoyv3791DgGX+RWOBW0NHRYeqhHD3cvn0bknu0+zbszsGtW7cMjGh6A35/LGmoSdwKRWqmUn/1KiRvofbrwhMg+UrQfL15Rq3b9k/uYF5G6iZClmZGPruffPJJyp4TSDyJvwhgGYDfRWRpWVotMRPFMLjdBcDcS5SGhobgdY4/0XvsHAzm38FLD4FgEOp4OOxO01ZskyQJXd09KJ4giRdnKAgJYlqtFeec43ZbG2TP6ExoJSMHt9vumPZiRlEU+AeH4IiOic+FNf6yLKOlpQVSZpExz+8rgixJuH37dtKP7evrQ547dcOf+W5jloMmvBXpRF96B2cWoVAIsDnA7E5Tz/AeGBhAlnP8m9bGAJ+bWfpkMlMjI4HYpChuc5i2N6KjowOKoqA4Y/zrV5IRSex3795NdViG6e/vR2BkBEpGDtx3zsF95xwUTy5CwYBpl9sNDAxAUUa7b+fCGn+/3w9FlsHdPkOeX91CONnVGYIgYHgkEFuimQo+J4eNmTSJpzNFUSCEguAOF+BwmTYJAJHNM7IdE3f35zhlS59MZmpwcGB0jbjNjYEBc45PqhO21C65ePO8xnTTGUkdV1Q8ObAF+mAL9Jl+cpuaaJzRlrjaCrTy8kB1VQR3eg15fu7MAJD831BtsIzd0VFPNhZZSUJJ3GSGhobAOQe3u8HtLlNPUunq7ESBZ+I3bb5bQpeGmwpYgSAICAYCo3vBOz3oMelSrVgSn2AmbaFHgdOGGXUpWpXa66C4s2M/U1tl9+7dMySm6aibdjiiZ1WXHchyM00380g1dQ6JWrY41dS5SMkOY/r9fgBA9gQ9k3rKcsopnwNBSXwa6hUdd3og2T3oNWlrNhAIwD84NGkSL/QouH//nmnHE/XQ0dEBYPQExF0+dHaac4LYzZs3kecZnQwVz24DyjIV00/q0lJHR0dkC1nXaDcud/sAxmKvq9mohWhcttHXsNAtmb5ATWLMvwFUvFgST7I7feN1L9qG7GgbsuMf6rKx8XpyPRBZDgn+FA9bUhKfhro+N1K/2Ysuk9ZvVltyZRN0xwKR5Q/DI+YdT9RDbAw5msQVTzbComjKNdctN66j0jv5zPnKTBGtN66nMCJjdXR0gLkyY/UZAADMBub2mTaJ3717F14ne2BJU0mGhPZPzNn9nwi7PdoC58m3aN13zsEe6IU90IuMpr1w30l+qRiLPq/NllyqUocBcpLsTr8z7EBQtiEo29Dkd+LOcHIz8nNcHL09qT2/UBKfhtp1p7h8UNxZ6O3tMeUypZs3bwIAyjMnHhOviP48nVpzN27cAABwmxMAoGTkAQBaWloMi2kigiCg7c4dLMiafPnigiwZff6BtKnc1tnZBWmCcVjJ6UVnlzkvpNtu30ap98HXsNQro7Or27IFX9xuNwCAKckvrbUF+sDkMJgchmOoI7LMM1nR583IyEjqYffu3YOdjc4YT5WiDBld3T0pXcVESXwad+7cAbM7wV2ZUDw54JybcpZwY2MjMp0MJRPMbgYiSQAAGhoaUhmWoRobm4CM3FjddNlbADCGxsZGgyN7UGtrK2RZwcKsyQsJLYwm+Obm5lSFZaiOzk4orsxxP1ecmejsMN8YM+ccN2+2oNz74Mm7IlOOLJez6HwGNYljBklcC0yJfCZcLldSj7t37x4KMpCyQi+qkgwFCucpnQdBSXwara2tkbWqjMVacmqr10zqr1zG4ixhXKEXVaaTo9yn4OrV+tQGZhBJknD58mWIvpLRH9qdUDILDdmkYCpNTU0AgCXZk58oF2ZJsLH0uAhTFAU9Pd3gEyVxVyZ6erpNV/64u7sbA4PDsYtl1Xxf5DU1W+9PohyOSHcyM2oeSbQ7XY0jUa0tN1Cakfoe07LoxNTW1taUPScl8SkoioLm69chefMjtz25gM1uutZQd3c3brfdwaq8qbtwVuUKuHzpkmkLnmipoaEBwWAAcnbpAz8P+0rR0NiIoaEhgyIb79q1a8jzAPmTTEoEIqV0K30KGhqupTAyY/T19UEKh6G4xq9N5u4syLJsumVbau/OojFDIsUZCnwuZtmLr9mMiWsi+ryxOBLQ39+PO5+0Y3kKNj4Za0GWBJcduHIldQVNKYlPoa2tDcFAALKvOPIDmw1yZmFsdxyzOH/+PADgkYKp37SP5IchiGFcvnw5FWEZ6uTJk4DNDinnwXrPUt58KLKMs2fPGhTZeFfrL2NZ9vQXVsuyRTRcazB16V8tjK4Rzx73O3WZmdmGtK5duwanbXTYQ8UYsCRLwNV6a1apVsfyuQElVwHESr0m0/BQz28rclP/OXHYgGU5YVysq03Zc1ISn8KlS5cAAHJcl6yUWYLm69dNtZnI8ePHUOTlqJxkZrpqVV4YHgfD8ePHUxSZMWRZxpGqKkjZZYD9wbE0JbMIcPtw5MgRg6J7UGdnJzq7evBQzvQnnIdywwgJQkq76oygbnKixJVcVSkZuQ/cxywu1tVhcbYUWyMeb3luGHc+abfkyhC1uBW3JzcmrRX1eZMpGX369Gl4neMvqFJldZ6Im7dup6yeASXxKVRXVwOeLLi6GmLLI+ScMiiyHEvwRvP7/airq8OnCkPq/K1JuezA2oIQThw/Zuoa8LNVV1eHvt5ehAuWjv8lYxDyF+PChQummOmtdrsl0vX3ULRlMdd7UlpaWsCc7gnHxLnTC+b0xFYemMHAwABaWluxOm/iMVh1mKuuri6VYWlCnaClVk5LNe7wAMyGrgRXJIyMjODE8WN4ojg04QVVKjxZIoIBOHDgQEqej5L4JARBQE1tLcTs8ljZRyDSKmd2J86dm9n2eFo7dOgQZFnB0/MS6256ep6AoeERnDlzRufIjPPRR3vAnB5IufMn/H24cBk459i3b1+KIxvv0qVL8DqBSt/0W9zmuxWUeLlpLiD1Ul9/FWFvISa8KmUMYW8Brl41z9yA6upqcM7xSP7EF2ILs2RkuWCac0Yy1Fn1ag9IytlsQEbiu9cdO3YMghjGZxI8H+qhwKNgVX4YB/fvS8kETErik6itrYUoCOMTgc0OMbsMJ06eMnyGLOccez7ajcXZMioSSAJAZFw83wPs2fORztEZo6enB6dOnYJQsDRW5GUs7smBnF2KD3ftMnx/+It1tVieI066qmCsFTkCLl+6aHjcevH7/bh9+9YDQ1hjyb55aGu7bZoNfU6fPo1sN7BoktUFNgasyQ/h/LmzlpvP0NzcDGRkA3anYTGEPblobGqattIi5xzbt21FuU+ZcqVHKjxXGsL9zq6UzL2hJD6J48ePgznckLNKx/1OylsIf38frl69akBkoy5evIi2O5/gs+WJ76xmY8DzpQFUV9eYdiOJ2fjoo4+gKDLEohVT3k8sWome7m5DeyQ6Oztx734HVk6zqiDeqrwwRgJBU3Una6mmpgYAIvMZJqH+rrq6OiUxTUUQBJw7ewbrCkJTXoitLwpjaHjEUr0okiShru4iRN88Q+OQs8vQ39c37fnqwoULuHnrNl6qDEw7tKi3x4tEFGVwvLdpk+7PRUl8AoIg4MSJkxBz50/YmpNy54PZHKiqqjIgulHbtm1Dlgv4dHFyXUe/Ux4ZL9qxY4dOkRlDFEXs/HAXpNxK8AlmNseT8uYDbh+2bduWoujGU8dIVyeRxFdaeHw1EadOnQJzZUQmIE5CySwEc3lx+vTpFEY2sQsXLiAYEvB40dRrktfki/A4GI4dO5aawDQwukyz3NA4pOjzq6twJvPepk3I9wBPlhi/hNZuA16sDOBaQ4Puy80oiU/gzJkzCAYDCOcvnvgOdifE3EocPnLEsAlibW1tOHPmDD5bFoAryQ2GclwcT5aEsG/f3pTvuKOnY8eOYXDAD7F41fR3ZjYIRStw+fJlw4r31NbWIscdqeqVqFw3R4VPQW1tjY6RGSMUCuHs2XMQcuZPPB6uYgxCznycPXsOwWDivVB6OHjwILLdmLZGg8sOrCsI4djRKsvUaTh69CiYzTFumWaqcbcPPLMAR6ZoNF29ehWXr1zBixUjhk1oG+vZ0hCy3cCmjRt1fR6T/HfNZd++fYDbN65QSLxwwVIMDw0ZNlll8+bNcNqBz1XMrCbz71WGIAgiPvzwQ40jM8627duBjFzIU3TFxhOLHgKzObBz506dIxtPURTUVF/Aqlwh6a6/1XkCrly5YplkkKizZ89CEEKQ8hdNe18pfxFEUTB0OGRwcBDnzp7BE0XBhMp7PjVPwPBIwFQ1CiYjyzKOHj0GMafc0PFwlZi3CM1NTZPuCPfb3/4GWa5IL6NZuO3AF8pHcP7CBVy/rt/mRZTEx+jq6kJ1dTWE/CWxfagnIueUAy4v9nz8cQqji+jq6sLBAwfw7LxQ0lvtqSp8Mh4rFLFt6xZTrXmfqebmZlxvbkaoaMXUrbh4Dg/E/EU4ePBQyv8Gra2t8A8M4uFJZjRP5eH8MMJhKaVVoVLh0KFDgDsTctb0Y7By1jzA7cPBQ4dSENnEDh8+jLAk45nSxC6mHs4PI88D7Nu7V+fIZq+urg5+fz+kyXojUywcvbA7fPjwuN/duHED589fwBcqAnAbs+35pD5bIcDrBDbq2BqnJD7Gvn37wDlHuHDZ1HdkNggFS3Hh/PmE1zBqZevWrVAUGS/Nn11X4pcWBDE0PII9e/ZoFJlx9uzZA2Z3IFywJKnHiUXLIQihCU8Oerpw4QIA4JH85Os7r8gNw2kbPcZc4Pf7ce78eYh5i6a8eI5hDELeIlRfqDZkljrnHB/v+QgLs5Vx9dInY2PAMyUBVFdXp/yckayDBw+COdyQciuNDgVAtNxu1jzsP3Bg3Cz1HTt2wG0HPmuiVrjK6+B4oSyIUydP6vaaUxKPI0kSdu/+CHJO+bQTowAgXLQ8sswrhUnQ7/dj9+5deLIkhKJJdixL1NIcCSvzJGz+4H1Tbq+aKEEQcPjwEYi5CwCHO6nHKplF4N587Nu/X6foJnb+/DksyFKQ606+J8VtjxSHOX/O/N2yiaqqqoIiyxMX6JmEVLAUiiLj6NGjOkY2scbGRrTevIXnS5PrwXmuTIhcABjQg5eoUCiEEydOQshdECt7agbhgiW4297+QNf00NAQqo4cxhPFIWQ6DdqkZRq/UxbS9TWnJB7n7Nmzkf3Cp1mepOLuLEg5ldi1e3fKJrjt2LEDgiDi5QXaXHV+aUEAvX39KasupIezZ89GJiImkQBiGIOYvxiNDQ2xmt16GxoawtWr17Amf+av4aMFIu580p6y0o56O3joELg3H0p0s6FEKN488MwCHDhwUMfIJrZ79264HZHqXMkoylDwcH4YH+/5yLRrxs+dOxeZm5Bkr5bewnkLAWZ74KLt0KFDEMQwXjBhK1xVlKHgkYIw9uzWpy4FJfE427dvB9y+pLqQxOIVGPD7ceLECR0jiwgEAti5YzvWF4ooT2JG81RW54WxKFvGB++/Z9kCIkePHgVzeaeciDgVdRVCqmrKX7hwAYqi4LHCmV/4rS2IJI+5UHnv3r17aGpshDiD8VchbzGam5tSdgEGRC7CjlYdwVPFIWQ4km/9vVAeRE9vn2kruMU+T1mTF9wxhMMNKbsMR6qqYl3qZ06fRrlPwaJsc5+7ni4Jobffr8sOmJTEo1pbW3Hp0iUIRSsSG5OLknMqgIwcbNmyddqKQrO1d+9eDA2P4IsLtFtWwxjwxfkB3L13H6dOndLsuKkiCALOnT8PIacyqdctHnf7oPiKcDwFF2JAZC10thtYPIuqUiVeBeU+BadOntQwMmOoLatJl3ROQZ3Jnsou9YMHD0IQwzOeCb22IDLBbdcu860MEUUx+nmqmPHnSU9S3gJ0d3Xh5s2bEITIKo2H88y/SmN1dAKrWsxIS+Z7lQyyZcsWMLsTYtHy5B7IGELFq9Dc3KTrFqWyLGP71i1YlithaQI7XiVjQ5GIIi/H1i1bND1uKly+fBlCKDRpnfREhXMqcb25WfedphKt8JWI9QUhXLlyBX6/X5vgDHKkqgqKrxjcPX7/8OlELsCKcaQqNUmcc47dH+7E4mwZCxOc0DaW3QY8Ny+AmpqaSZdMGeXKlSuafJ70IuVEeknPnj2Lq1evQgyH8XASxZKMku3iWJClT30H3ZI4Y+xtxlgXY+xq3M/yGWOHGGM3ov/m6fX8yejq6sLhw4chFCxLemIUAIQLloE5Pfjggw90iC7izJkzuN/ZhRcrtC9uYWPA75YHcPXaNTQ1NWl+fD1duHABzOaYcVe6Si1ooXcpz9raWgRDAtZPU+ErERuKRSicW7IHRXX37l3cbG2FmLdwxscQ8xbh9q2bKelSr6+vR9sn7fidstl9Dp8vi7QezbYypKamBmC2CctNmwF3ecEzC1BdXR3bjnahwXXSE7UoS0RbdEMZLenZEn8HwItjfvbfABzhnC8DcCR623Bbt26FrCgQ562e2QHsDoSKVuDMmTO6Vf/a9eFO5HuAdYX6zCJ/plSA2w7s2rVLl+Pr5UJ1NcK+4lnPolW8BWCuDNTW1moU2cSqqqqQ6Uyu1OpkFvhkFHs5jhkwO1srJ6PDAVLeghkfQ33syRQMLezZswcZDuCJWZb2zPcoeDRfxL69H5tqgltNTS1kX7EpCrxMJuwrxdVr13Dv3j04bUCWhrPSgxKDx+PBq6++Co/Hg6CkXRH2ArcC/8Cg5kWadEvinPMTAMb2TX4ZwLvR798F8BW9nj9Rfr8fu3btRjh/Mbg7a8bHEUtWgdmd2KRDwft79+6hprYOz5cGEqoMNRNeR6QUa9WRwxgeHtbnSTTW29uLO21tCVdomxJjEH3zcKG6Rre5DaFQCKdPncSGQm32OmYM+HRREHUXL+o+DKCXEydOgmcWzOqzx90+KJmFus9pGBkZwfFjR/FEcUiToiLPl4XQ1+83zXr/4eFhtLa2QDJpK1wlZZdCliS0trYi34NZD0vFC0gML7/8Mr75zW/ii1/8IgIaJvF8T2RJcHd3t2bHBFI/Jl7COVcHgToAGD79cfPmzRBFAWLpo7M7kMMDoWgFqqqqYt08Wjlw4AAYgGcTrAy18boXbUN2tA3Z8Q912dh43ZvQ454rEyCIYcts0nDx4kUAU+94lQw5uwz+/ul3S5qpM2fOIBgSNN2g4ckSEYqiWOY1i9fX14fGxgaIObMffw3nzkdTYyN6e3s1iGxi6l7ViX4Op7OmIIxsN7A/xTUKJnPt2jVwzrWblS6LD7RqIWvTiyj7igFE3j8uu7YX3F5HpO7HT37yE3z88cfwzmD1wWTc0Vi1Xo5s2MQ2HmnuTPoXYoy9zhirYYzVaH3lourr68P27TsQzl+syab34ryHAZsD77777vR3ThDnHAf378Pq/HDsSm46d4YdCMo2BGUbmvxO3BlOrKt5cZaEskyOgwfMcVKZTl1dHZjDndTa4qmoLRC9dgg7fOgQ8jzAijztuk8rfDIqsxQcPGi9df5nz54F5zyyo9wsqROx9KxLfuDAfpRm8lmtKojnsAFPFgdx5vRpDA0NaXLM2bh69SrAGOQpdpBLBpPEB1q1TNJoKNDhBvfmY3BwELLGnWYZDo5QKITt27cjFJrZEsLJyNHTt92ubW3YVCfxTsZYKQBE/520Dh3n/E3O+QbO+YaiIm3eVGNt2rQJYliEUPaYJsfjzgyEilei6uhRtLa2anLMpqYm3O/sSsn2eowBTxQHUX/1quZdPlrjnONCdXVkr2ONlsJwdxbgydJlXLy/vx/nL5zHU8VBTbv/AOAzJUE0NTVbbn/406dPA24flIzZX4QpGXmAJwunT+uzbr6rqwv19fV4sjio6V7VT5YIkGQ5JeP502lubgbPyNNsPJw7XA+0arnDpclxASDsLcDQ0BBkbvDG4UlQLzisnsR3A/hq9PuvAjBsFlVHRwc+3LULYsEy8IwczY4rznsEzO7CL3/5S02Od/z4cdht+k1oG+vTxQI4R0qK18xGe3s7erq7IxvRaIUxiFmlqK2t03yy0eHDhyHLCp6ep/3F2JMlAmzMPN2yiRAEAdU1NRBzKhPfsGYqjEHMrkRNTTVCIe2rd504cQKcRz4fWlqUFZmcePTo5NtspgLnHI2NTZC8Bdod1O56oFULu3ZJXMksgiRJGLJQtejBcCTd5uRol28AfZeYvQ/gLIDljLF2xtifAfjfAD7PGLsB4HPR24Z4++23ISscYtlabQ/scCNU8jDOnTunyS5Tp0+dxMrccMrqApdmKijL5Dhz+nRKnm+m1G5TScskjkjxnmAwoPma//379mJxtowKn/aVpXLdHI/kizh4YL9lqu7V1tYiLIqarkeWcisRDod16Uk5efIEyn0KSjNnt1/BWIwBGwpDuFh30dAJpQMDAxgaGoSsQa9IKigZkdXJgTAQNM/k/in1hWzwZnjg8yVfD2Eqes5Of41zXso5d3LOKzjnb3HOeznnn+WcL+Ocf45zbsiU2paWFhw8dAhi8aoZFZiYjliyGnBn4l/feGNWM53v3r2LT9rvxkpspsraghAuX75s6i1KT506De7Nn9Ws5olI2eWAzR7p6tXIjRs30HrzFj4zT/s1/qpnSgX09PbpUhFKD6dPnwZzuBLadjRRctY8MIdb09cOiOwbXn+lHusLpm/hz2RS6foiEZIsGzpLXR2KURLY+MkMFM9oa7Y3ZLL9RyfRK9hQWFio+XHTsmLbz3/xCzC7C0LpGn2ewO5AqHQtmhobZ9UtrZ6Q16Q4ia/Jj5xULl26lNLnTVRvby/q669A1KOqlN0JKbsMR48eg6Jo0+rau3cvnLbEN8uYSSJ4rFCEzxV5LrOTZRmnTp+GmBW5YJqK+8452AO9sAd6kdG0F+47U9Qbt9khZpfh1OkzmvZI1NTUQOEcaxOodT+TSaVLsiX4XAznz5/XItwZUefAaH1RrBfu9MRqQ9wLWCOJ3w24sGDhIs2Pm3ZJvLa2FjXV1QiWrplRdbZEhQuXgXvz8ItfvDnj8dXq6moUeYGSWW45mqxluRJcdn3q/Grh2LFjkVnN+dp/IIBIDe/e3p7IbN1ZEgQBhw8dxPpCIeEhkZkkAqcNeKo4iDOnT2FwcHC2YeuqoaEBA35/QrPSbYE+MDkMJofhGOqALTB1552UuwCDA35cu3ZNq3BRXV0Nn2t2te6nYmPAw7khVF84p/v+C5NRu/K1nHymO6cbjAF3hsyfxAUZ6BxhWLJE+53h0iqJK4qCn//854Dbh3DxSn2fjNkQLF+Pe/fuzqh1pCgKLl+8iJU5IU1nwybCaQMeygnjUp2+1ctmgnOOj/Z8DCWzMDk1XvgAACAASURBVDYupjUpdz6Yw6VJq/bMmTMYGh7Bs2X6ry54tlRAWJJx+PBh3Z9rNo4fPw7Y7LE62FqScisBm12zHek456itqcbKHEHzVQXxVueH0dc/oHmNiUQFg5GhHm4zb6W2cWxOZHq9aEtwCa2RPhl2gAOUxGfr+PHjuHHjBoJl61Ky2b2cUwklax7efvvXsQ9Jom7evImhkRGsyDWmuP+K3DBu3m4z3eYajY2NuH3rJsTCZQndP6nuWJXdCSFvEY5UVc16/e7evR+jIANYlYJNGuZnyViYrWDv3o91f66ZkmUZh49UIZxdDujR6rM7Ec4ux5EjVZqsMOjo6EBXdw9W6vz6qcdXCxilWkZGBgCAyebfTETFlDBy8/LROuSGYkwHRsJuDETyzapVqzQ/dtokcUmS8OYvfwXuzYdUkPyWhzPCGILl6+H390f2Kk+COrN9Ra4xUy+XRy8etOhS1tKWLVvAHG6EC5YmdP9ku2NV4eKVCIsidu/ePeNYu7q6UFNTi8+UBHRtxcV7Zl4QLS2tuHHjRmqeMEm1tbXw9/dBKtC+RaKSCpbC7+/XZJa6ukphuc6fwyKPgjwPdN0JcSrqjGkmm39bTwAA54AkoLS0FMMix32Tj4tfH3CgdF4JCgo0XMIXlTZJfP/+/bh/7y6C5etSuk+uklUCKbcSm957L6lWXX19PQoygMIUj4erFmVJcNqgyTI5rbS3t+P48eMIFT6k+wYNijcfcnYZtm7bPuMNCw4cOADOOZ7RqExnIp4sEeCwmXfN+K5du8FcGbpudSnlVoI5MzTZzKe+vh5eJ0N5pr5L9xgDlmcLqL9szGTS8vLIUk1baMCQ508WE0fAZQmrV0c2rWr2m7dLnXPgxqAbj6yZZWnvSaRFEhcEAb/+9TtQfMWQkxyHm1F37NjnL1+PYCCQ8FalnHPUX7mMZdnGXRW77MDCLAlX682TxN99913AZkd4prvNJUkofRT+/r4ZtcY559i/by9W5kkoTuGFmM/Jsa5QwKGDByCK5qqE0d7ejjNnTiNUsGzaWemzYrMjVPgQzpw9i08++WRWh7pWfwVLsvQdD1ctzZHQ3duHrq5JC1nqZuHChWCMJdxTZTRbsB8A8Nhjj6GwIB8N/eYdy787YsegEIlVD2mRxD/66CP09vYgVL4u6epQM+2Ojad48xHOX4yt27YltNtUV1cXenr7sCzH2CoGD+WEcf36Dc23zpuJmzdvRvZ8L1oB7kxsQ5fZkrNLIWeX4re/3YiRkZGkHltfX4+79+7jGR3Xhk/m2VIBg0PDutYRn4nf/va34MyGcIn+F2HhklVgzI7f/OY3Mz5GIBDArbY7WJqiz+GS6PM0NDSk5PnieTweVM6fD/uIucstq+zDXbDZbFi2bBnWrd+ARr95x8WvRS8w1q1bp8vx53wSDwaD+M1vN0LOKtVmy8oZEsofgyiKCbXG1XHoZTnGTjJZlhOGJMu4fv26oXFwzvHTn/4McOi4tn8SoYrHMTg4gI0bNyb1uL1798LjAB4vTn1r+OH8MPI8wL595lkz3tLSggMHD0IsXgnuzND9+bgzA0LxShw6fHjG8wOam5vBOccSnZaWjTXfJ8Fhi0zeNMK6xx6Dc7gL0Kg+gp4cwx1YtuwheL1erFu3DkMi0D5sznHxhn4nykrnoaREn00753wS37VrFwYH/BDK9bkKShT35CCcvwQ7d+6cdrvEa9euwW0HKnUeh5uO2gIxenLbqVOnUFdXi+C8tYDDk9LnVjILES5Yii1btybcNRsIBHDs6FF8qkibfaeTZWPA0yVBXLhQrevWnIlSFAU/+OEPwRweCLPd8jcJQukaMKcHP/jhD2dUuEdNpnqtDx/LaQMWZMloNKAlDgBr164Fl8OwBXoMef6EyRLsI9147LFIyWy1m7rBb74udVkBmgZcWL/hcd2eY04n8UAggE3vvQc5p1y7PXJnQShbi7Ak47333pvyfteu1mNxVhh2g1+dbBdHsZcb0r2nCgQC+Ocf/wu4N1//tf2TECo3QIENP/rRjxIqxnHy5EmEBCGlE9rGeqY0BEVRcOjQIcNiUO3YsQONDQ0IVGzQtcDSOA43AuWPo6mxMenVIUAkiZd4OXwp2rcAABZnibh+vdmQGviPPhq5wHIM3U/5cyfDPhLpLVi7NpLES0pKUFY6D40mHBdvG7YjGEYsVj3M6SS+c+dODA0OIqTRVqOzxT3ZEAuW4sNduybd6lMQBLS0tsbGx4y2NEtEw9V6wypJvfPOO+jt6UZw/pOAzZi3K3d6ESxbh7q6uoQKqezfvw/FXo6HDHwNS70KlubIOLB/n2GvHRCZy/CLX/wCUm4lpASXBWpJKlgCKXc+fvGLN3Hz5s2kHtvU2IBFvtQOhyzOkhASREOKvuTl5UXGxYc6U/7cybAPdYAxhkceeST2s8fWrUfzgMt04+LqhQUl8RkIBAJ4/4MPIOVUQPEVGx1OjFj2KGRZwaZNmyb8fUtLC2RZwZJscxRdWJwtobffb8j+4k1NTdi6dSvEouWG96SEi1dA8RXjX37ykykL4HR1deHSpUt4ukTbfadn4umSIG7dbkNLS4shzx8MBvF3f/c/IDEnQguf1mbL0WQxhtDCpyHbnPj//u7vEt7Up7+/H909vViUoq501cLsSAvcqHkoq1auhDPUb8hzJ8oW6EN5RSUyMzNjP1uzZg0C4chMcDO5PuBEeVmpLuvDVXM2ie/evRvDQ0MQtN5qdJa4OwtiwVLs2fPxhOOVTU1NAIBF2ebYUlIdD2xubk7p80qShH/6p+8DzgwIFRtS+twTYjYEFzyNoeFhvPHGG5Pe7ejRo+A8sl7baJ8qEWFnQFVV6veq5pzjBz/4AT755A5GFj6TshUFE8bizMDIomfR3t6O73//+wn1TKhJdEFWapN4qVeG2w7DivUsWbIEXBgBC6d+VUWiXKF+PLTswV4dtVV+3UTrxSPrw11Y86i+OWhOJnFRFPH+Bx9Azi4zVStcJZaugSRL2Lp167jftbS0INsN5LnMMUO00ieBMaS8Nbdz5060trYgUPnp1I6jTkHx5kEoeRgHDhyYtDzm0aNVWJitYJ7X+Ncvy8mxOj+Mo1VHUt6lvnv37siSwPJ1kDXe830m5OwyCGXrUFVVhQ8//HDa+7e2tgIAFuiw//tUbAyo8MloaTEmiVdWRupoMGF25YZ1o8jgoaFYnKrS0lLk5+Xg+sDsxsXn+yRk2BVk2BWsyA1jvm/mF3EdARuGRcQK0uhlTibxw4cPY8DvT/lypERxTzbCeQuxa9fucd17LTduYH6maHhXrMptB0q9PKVJvLe3F7966y1IORWQ8ham7HkTIZatBTzZ+OGPfjSuNndvby+ampqxoXD6fadTZUORgI7OLty6dStlz3njxg38y09+AimnAmIKZ6NPRyxdAymnAj/92c+m7Vm6ffs28jxIeOc5LVVmhnEryfF7rRQXRxo9NjG5ugipwsKR86UaZ+znjGH1w2vQMjS7C/4/eej/b+9Ng+M4zzzP35tZNwASBwECIAgQJA6SIAjwAHiJFE9JpGjKpCRasiWTkiyJ1GV7dLbc4/Y1dm/ExsZEOPbDzu54e7Y92+7ulXu6R77almTLli1T1GFRFEnxxH3fQBUKqKp3P1QVCJI4CoWqyizg/UUoBFRlZT5gVuaT73P8HzdFaX6K0vy8ur6fh8oiS79MxMXQA8X43H08mHNOXErJaz/9KdKViT8tz2hzJmVkcQUej/uG6uFAIEB9Qz35rtk9/Xt8AofDwX333YfD4cDjm90TQb5rhPq6xDmBH/3oR3i9IwwXbjImjzoVmgVPwUYa6uv52c9uHDRy6tQpAKoXmUcprSo0i/7dd2euNBgNXq+X73z3u/h1O8PFO8x1/oTAs3wHft3Bd7/3vSlFjOrr68hzGlOXkufy0z8wSF9f4iVQw85RmNSJhx8ubnbiEHSWHW7o9ZrjO3exz0JaiuuWqEGsmXNO/NKlS1y+dAnvojJz3UBuIpCSjUzJ4n++/vrYa11dXXi9I+TO0om7fYKDBw/yzDPPcPfdd+OepRPPc/lpbmlNSNtLS0sLP//5zxnJXol0LIz78aLBl16EPy2X//vv/hujo9dv9B9//DFpNmF4f/94MuySJamBhGng//jHP6ahvh530W1Ia2J7+iPC4sBdtI3Ghgb+/u//ftLNWpqaWOw05jyGj9vSkvhWr9TUVGw2u3lX4iPBlXF2dvYt761ZswaACybpF7/Qb6eici1anLtq5pwT/93vfgdC4MtM0KSyaBECb8ZyLl28OHaxhivAsxyzy6e6LJLXX3+dH/7wh/zsZz/DZZldSDDTHsDvD9DTE/+q1X/+539GCsFIXnxDULNCiDFd9fEtZ5+e/YSSBd5ZPzvGOpJSkjbCp2fjL9jT0dHBT37yE0Yzl5siDz4Z/oVLGM1cwU9+8o8T6pR7vV76BgbJtBtT15AROq4RHSFCCLJzshHewVnvK+DKROpWpG7Fl5ZLwJU5631qI8Fc/UROvKysjNQUF2e6jXfiHR6N1iHBxo3xL8qdc078z6dO4U9dbM5VwE34MoKTnE6fPg0wpquePsuiNqdFMjw8zGuvvcbw8DDOWTrx9NBNJd7qXz6fj1/88peMphcjbSnTf8BA/Avyka6MsZB6IBCgubl51qkQiH0kJT8lGJ6d7Wz06Xj99dcZHR01XB0xErwF6/H5Rm9JiQBj/05pBhWXptmC16sR4XSA8rIybJ7ZX+vews34XVn4XVl4Vh7AW7h51vvUBjvJzcu7ob0sjMViYcPGGs70ODBQGgFg7EGipiZ+Sm1h5pQT93q9XL50CV+q8epskSDtCxA255isqccTbOtwzNLpxhqHHrRneDi+BVtnzpzB43bjy1wW1+PEBCEYSS/i7Nmz9PX10dPTw6jPT5Zj9k481pGUcGSntbV11rZNxVu//S3+BXlIx4LY7dQ/ckNUAn9s6g2kPQ3/gnzeePOtW94Lf8/tujHXYfi4Rg0eqqioQHoHY7IajylSYnN3UBkKm0/E5s2b6RmGK/3Gtpq912End3EOhYXxG7kbZk458dbWVgKBAAFnutGmRIYQ+OwLaWxsAhgbHWk1WSrfGvqWxPumcvbsWQB8C8xbkDge/4J8pJScP39+7NzFQis91pEUuxb8/Pj8fawZHR2lsaEBX0psWzqFb+SGqITwxa5o0JeaQ3NT4y0jW8M669FchrFIhYRvytHovceCzZs3gxBYOxKrDTEdlt565IibrVu3TrrNjh07sNtt/LbZuLbUDo/G2W4rd+0/gEhAXdaccuLhcHRMpyTFaSUQJmB10hWy22oNhmB85lqI4wvdS2w2W1yP09bWhrA6QI/hceJ4/gK2VIAb8qpmk30ECLuCeN5QAoFA0OnosV0BSYvthqiEtMTwu6FZrts9DocjmIobCcz83ysWqRBv6LhhOxLNkiVLuG3bNhydF8BvDuVIpMTedpbsnBy2b98+6WYpKSns2rWbdzsceAxSPX67xY4QggMHDiTkeHPKiY9djCJ2f1Y8VwLBA2hjVd8uV1DVaraFTLHG4w/a43TGd4Skx+OBWN6kie/5k6GHDbfbTWZmsGinx2u+SypsUzylH+12O06nCzEc47y7brshKhHLBzzhHcDhdGK337hqS0tLA2BgZObXYSxSIeHjhu0wggcffBA5Ooy98X3DbBiPpesy2kArDz7wABbL1A+Khw4dwuuDN5oS/xDk9gneaHaxedOmCdvg4oF5NOpiwFixQyxv1KGVgJQytBKIrXyk8I2QtjC4ogtXXHZ5dYoxT5tS13AwRhzvL2V6ejrEWO4xnudP+IK50/T0dOx2O4uyMmh1Gy+3ejMtbh2r1RJXJw6wceMG/vDn9/EG/KCZS8P6FgIBbP2N1NRuvCVC4XQ6SV+QRkcUNSBOi2R4cHhsapozfeZOvCN0veXlGZdWqqio4N577+W1117Dl77U0G4D4R3E1fAuFZWV3HPPPdNuv3r1ajZv3sTr7/+ZXfnehAr2/LzeweAIPPLoowk7pvmWDbMg7AS1kRgWZMRxJQCgjw6Rnb0IgPz8fADa3OY6La0eDYfdHnSycSQvLw/pG41tQU0cz5/uCbbchW+2ayqrONdnN7wy9mbO99qpWF2BrsfXsR48eBA54sbaZczAlZlg7boI3iH2798/4fuFy5ZRP2hMq1LDoI4QIu4iIdPxxBNPsLSwkJRrbyOG+40xwj+K6/Jb2K0633j11Yi/w48//gQeH7xeF9/o4Xh6vYJfNbjYtWsXZWVlCTuuubzFLMnMzMSVkormMfcUnjECAcRwH8XFxUAwfJa7OMfwysqbudJvo6y8LO5FGhs2bADA0t8U1+PECr2vCbvDwapVwTnnGzdupGcY6gfNswrt9mrUDWhsSEC/am1tLatXV+Bset/UAzTEqAdn8weUr1zJli1bJtxm9eoK6gd1RgwIiF3ut7CsqHAsvWYUdrud//S975Fit5B66deJP6eBAM7Lb6G7O/nmf/yPM4pMrFixgn377uCXjc6ETTb7fy+lEBA6jz32WEKOF2ZOOXEhBCvLy7G6O402JSI0dxcE/JSXl4+9tqZyLZ/1201TIDXsCw62r6iYvK0jVhQVFZGbl4ctCVZyBHzYe6+xqXbTWEHi9u3bsVp0ft9ijoEtAH8I2bJnz564H0sIwYsvvoAmfTiuvYPpQhIAUuKoewfNP8LLL7006YNpVVUVvkDi1b9G/HCh10ZV9bqEHncyCgsL+V/+9m+x+ty4Lv0mcYVuofNk6Wvk+eefn7IifTJOnjyJy5XCj86nxf1++lGnlXfb7Dz08JcpKCiI78FuYk45cYC1aysRQ13gM19u8mb0wTbgulwgBFczfV64OmCO1fiZbhv+AGzatCnuxxJCcOTwYbSBNrQhcz+IWbsuI0eHOXz482OvLVy4kO07bucPbc5ZC7TEAl8A3mpxsa66eixVE2+Ki4t56uRJLL312FoSI/U6E2ytZ7D01HPixAmWL59c1XHdunXYrFY+6kqsEz/Xa8XrZ9IIgRFUVFTwrW99C4u7C9elNyAQ57JvKbE3nMLaeZFjx45x8ODBqHaTkZHB0888y8U+nTeb4vdg7fHBf7u4gKLCpXzxi1+M23EmY8458fXrg2pRloHE6w7PFEt/M0sKCm6QENy8eTOapvFee3zbuSLlvXYbaakpNzxoxJP9+/fjSknB3jTxqE9TEPDjaP2YkpJSqqtvnBV89OhR3KPwRqPxq/F3Wu10eeCBBx9M6HGPHDnCrl27sTe9j95bn9BjT4XeW4+98TQ7d+7kvvvum3Jbh8PBps2beK/DiT+B7drvttlIcTlv+V4ZzbZt23jllVfQ+5txXv4tyPj9o9ha/oKt7Sz33nsvx48fn9W+7rzzTjZuWM8/XUmjwxMfd/ePl1PoHoYXX3p5LCqXSOacE1+1ahU2mx293+ROPBDAOtjGxlAeOMyCBQvYvHkz77Q5x/qzjWJoVPB+p509e/dN29YRK9LS0nj4oYew9DWY9hxa28/B8AAnTjx5Szh25cqVbKqt5ReNKQyNGrcaHw3Av9WlUFZaQm1tbUKPLYTg5ZdfoqS0lJQrv0Nzdyf0+BOhuXtIufo2JSWlvPLKKxHVd+zbdwe9Xjjbk5gbs9cP73c62blr9y1tb2bgjjvu4LnnnsPSW4+94VRcjmHpvIS96QPuvPNOnn766VnX4QgheOHFl9Csdv7r+bSYZ3jOdlt4s8nB/fcfTdhC52bmnBO3Wq1UVa3FNhhficnZork7kf5R1q27Nfd18OBB+rzwYaexq/Hft9oZDcDdd9+d0OMeOXKE7JwcnA3vgkGqVZMhRtw4Wz6ipqZ20uEGX3n8cYZGE1sZezO/aXTQ4RE88eSJhKhG3YzD4eAH3/8+6QvTSLn8hqGFbmLUQ8rl37AwLZUf/OD7EYuobN68mYUL0ngrQepff2y1M+yT3HXXXQk5XjQcOXKE++67D1vbp8GH2RiiD7TirHuHqupqXnjhhZhN/8rNzeXkU0/zaY8lpudy2Ac/urCAgiX5CS9mG8+cc+IQLErB3YMYja/W92ywDAQfMqqqqm55b9OmTeTlLuaXDdFVpxam+nDqAZx6gJXpoxSmzjyH5Q/Avze6qFxTQWlpaVR2RIvdbuerzz2HcPdgbTub0GNPh73hFBoBvvrV5ybdprS0lL179/Hvjc6oQnizPX8DI4J/rUuhpmZjQqYoTUZ2djZ/+4MfYPUP47r8FgRmXuo960lYoQpni2+Yv/3B9yecfjUZNpuNA3cf5MNOO93D8b1VSglvNrtYXrzMsBVdpJw8eZItW7bgqH83drUrvmFcV35Lfl4u3/vud2Melj548CDr16/jn66k0heFiM9E/Os1Fx0ewUsvv2Jo5GROOvHwRaANJX6UX6Rog+3k5eWTkZFxy3u6rnP/0S9wsU/nQu/Mw9gPlbkpSvNTlObn1fX9PFTmnvE+TrXb6PQIjn7hgRl/NhZs27aNLVu24Gz5COGN7/StSNH7GrF2X+GhL31p2grUxx9/HM1q4x8uzXwa22zP32tXXQz7NZ5++pkZHzvWlJeX88orr6ANtGJvfG/Gn5/tJCx743voA6289NKLrFy5csbHP3ToECB4I46FUQCf9VmoG9D4/OEjhkROZoKu67z66qvBlt6rb8ek0M1R9yd0v5fvfPvbcVGqE0Lw9a//B0alzk+iuCZvpnFQ55cNTg4cOMDatWtjYGH0zEknXlYW7GnWTVzhbPN0UVGxetL3Dxw4QPrCBfzrtcT3igYk/GtdKsuKCtm2bVvCjw/hi+7r2Kw6zro/Gt+u5B/FVf8nCpYu5Utf+tK0m+fk5PDQQw9zusPGp92J6zSoH9B5q9nB4cOHWbZsWcKOOxV79uzh3nvvxdb2KZbuqwk7rqX7Gra2sxw5coQ77rgjqn3k5eWx7bbbeKvFhTeOPeO/bHCQlpoStZ2JJi0tjVdefhnh6cXW/JdZ7cvSU4e1+yqPPPIIJSUlMbLwVpYuXcoXHniQd1rtnO+J/pqUEv6fz1JxpaTwxBNPxNDC6JiTTtzlcpGXn2+KgpoJ8Q0jvUNTfmEdDgcPPPhFPum2RrUanw2n2m00Dwke/vKxmOWloiEnJ4cnn3gCva8JS/eVqPYx63BsCHvTBzA8wEsvvhjxIJijR4+SuziHH19KS0iFs5Tw3y+lkpaaOuuq3lhz4sQJyleuxFX3x4REVoR3EFfdO5SVl3Py5MlZ7ev+++9ncISI+v+jSYW0uTU+6LBzz+cPGzb0JBpqa2vZvXs3jvZPo695kBJH84csKSjggQfiH/V76KGHWJSVyT9fTYl6XXCm28r5XguPPvaVuKtYRsKcdOIAJStWYPX2Gm3GhOjuoKJcWKltMu655x4y0hfy2pXov3AzxR+An15LpXhZEbt27UrMQafgnnvuCd78G/4MvpnXOMw2HAugDXVia/+Uz33uczMKndntdk4+9TSNgxpvJ0AA5oNOK+d6gjcXI4dnTITVauVvvvlN7FYN59XfxzeyIiXOa7/HZhH8zTe/Oev8amVlJatWlvOrxpRpRUOiSYX8qsGJxaJz+PDhWdlpBMePH4eAD1vrmag+b+m5inB38+gjjySkA8bhcPDQw1/mYq8lqq4DKeFfrqWQk70o6v71WDNnnXhxcTEM98dfmCAKtOHgw8V0TtzpdPLwl49xvtfCJ92JaXP5Q6ud1iHBo499xdBVeBhd14PKWv4R7A2nE2+ADOCs+yPpC9OjCp3t2LGDNRUVvHYtNa6jEX0B+MfLaRQuLTDNzeVm8vPz+epzz6EPtGJt+zRux7G2n0Pvb+G5Z59lyZLZD+4QQvCFBx6kzS34sDO21+HgqOD3rQ727N0X9wE18aCwsJBdu3Zh77wY1b3W3n6O/Pwl7Ny5M/bGTcKBAwfIXpTFv1ydeW78TLeVy306Xz523JCe8Ikw/i4dJ4qLi0FKNE+f0abcgubuwelyRVQpe/DgQRbnZPP/zSL8EykjfvgfdamsXFnObbfdFt+DzYDly5dz9OhRbJ2foQ8ktnXQ2n4ebaiTZ599JqrVrRCCk089Rb8X/r0hfi1nv2+x0+oWPHniZMJ6+qPhrrvuonbTJpzN78dlqIbwDuBsep/a2tqYznO+7bbbWJyTHXXHyGS81WTH6w+mXpKVgwcPIn1eLD11M/qc8PShDbRx8ODdcR/OMx6bzcYXHniQi3061wZmdtzfNDrIykjnzjvvjJN1M2fOOvGwpKLm7jLYkluxeLpZsXx5RFWoNpuN4488ytV+nffj3Df+VrODLk9wApDZKmSPHTtG1qJsnPXvxlUtajzBQRkfsn79Bnbv3h31fioqKti6dSu/aHTFRQBmNAD/Vp/K6lUro9KYTiRCCF54/nnsNmvsCxalxHntHexWCy+88EJMv8MWi4Uj997HhV4LdTO88U+GPwBvNKewbl31lBKwZqe6upqcnMVYO2c288DadQkhhCEO8Y477sBmtfLb5shrELqHNf7SbWP/3QdNswqHOezECwoKcDpd5qtQD/jR3d1jk68iYd++fSwtWMJPr06fk4sWrx9er09hXXXV2DQxM+F0Ovnqc88i3N1Y22IrMjEZ9sbTaNLH17721Vk7hEceeSQox9oU+8KlP7QE5VUffewrpnv4moicnBxOPPkken8zlq7LMduvpesyen8zTz75BDk5OTHbb5gDBw5gt9v4dWNszuH7nTa6h+Hee6eWgDU7mqaxZ8/uoNR1pDMrpMTeW0dVdbUhaYQFCxZw+86d/KndEXHXQbiuJdHiV9MxZ524pmmsXVtpOuU2fagDGfDNqEDKYrFw/JFHaRyMn6b6G00O+rzwyKPGKQ9Nx/bt21m/YUOwdzzOCmDaYDvWzoscPXqUwsLCWe+vtLSUTZtq+fem2LYqBST8vCGF8rJSUz58qk1ulAAAHyFJREFUTcahQ4eCBYuNp6IqWLwFnxdX03uUr1wZ6u2OPWlpaezbdwfvtjtiElF5s9lJTvYiUw07iZbbb78dZCDikLrm6QVPL7sSmAu/mTvvvBPPKBHXG53qcFBZWTmjkaiJYM46cYCamhrw9CKGo8+Lx6pFKYze24Cm6zMecLBz504Klxbwb3WxX42P+OEXDSmsX7/OcOGCqRBCBJXcAj5sTR/E70BS4mw4RXpGJg8//HDMdvvgg1+k3wvvtsWuUv0vXVba3IIHHvxiUqzCw2iaxksvvhgsWGx8f9b7sze+j/B5eeH55+OaXz106BAjfvjjLM9hm1vj024LBz93KKH54HhRXl5Odk4O1t7InLil5xpCCENrb6qrq0lLTeF0x/TnssWt0TiocfvtO+Nv2AyZ0058x44dAFi7ousxhti0KI0hA9h7r7Fxw4YZF0npus5DD3+ZhkGNj2JcIft2i50+L3z5y8diut94UFRUxOHDn8fW+VncdAAs3VfQBts58eQTuFyxK2SqqqpiefEyft3kilkq+NeNThZlZbJ9+/bY7DCBrFixIqjD3XEBbTB6dUVtqBNbx3mOHDkSd4ngsrIySlYs5w+tswup/77VjiYE+/fvj5FlxiKEYOftt2Ppbwb/yLTb23rrqKioMLQi32KxsHXbbXzYZZ9Wx+GDjmAE1EwFv2HmtBPPyclh/YYN2Ls+M8UgDb23EYYHor5wd+/eTU72In4RwwrZgIRfNqawamX5hDruZuTYsWOkuFJwxGOSUsCHs+l9SkpLY66eJYTg84ePUD+gcTUGxVEdHo1Puq187tA9pq5In4rjx4+TnpGJs/5P0RW5SYmz/k+kZ2TwyCOPxN7ACbhr/wGu9us0DkZ3DgMS3mlzsX7D+hlpuZudHTt2QMCPpbdhyu3EcD/C3R0MwRvMli1bcI/ClYGpr5+Pu20sL17G4sWLE2PYDJjTThzg/vvuA+8Qlq6ZVU7GHClxtH5M1qLsqFdNFouF++4/yoVey4xbIybjo04r7e5gH2yyhGMXLFjA8ePH0Pub0fuaYrpvW9tZ8A7yzNNPx6VPfvfu3dhtVt5umX1x1O9b7AhBUq/mXC4XT508gTbUGdU1aum6hDbYwckTJ0hJmb0mdiTs3r0bTQjejbI+5XK/hS4P3HGHedqUYkFFRQXpGZnT5sWtPdcATBE9Wr9+PUIIznRNHt30+uGzPis1tZsSaFnkzHknvnnzZsrLV+Js+Qj8xgm/WHrr0QbbeeT4sVmtmvbv34/dZuWtGFU5v9nsJCszw5Rhoqm45557WLw4F2fT6di1KfmGcbSeYcuWLTOuWYiU1NRUtu+4nVMdjlnNi5cS/tjuZP269XGpxE4ke/fuDV6jzR/M7BoN+HA2f0hZeTn79u2Ln4E3kZmZSfW6ak51RNf3f6rdhtVqMWwuQbzQNI2dt+/A1t845Xm09tZRWlZGbm5uAq2bmAULFlBeXsbZnskfyC70WvEHMHQi4FTMeScuhOCpp06CdxBby+yE+qPG78PZeIqlhUWznhWclpbGrt17+GO7g+FZPpN0Dmuc6bJy98HPJV041maz8fjjX0EMdcVsqIat5QzSP8rjjz8ek/1Nxt69exkcCao/RcuVAQvtbsHeBDqveKFpWugaHcLWHrmSm7XtHHgHeerkyYSrC+7YcTutQ4LmoZkdV0r4oNPBhg0bEhY5SCTbt29H+n1Y+ieOkAnvINpgBztNEEoPs27deq70WybtGjnfa0XXNSorKxNrWITMeScOwYKiffv2YW87Y4j4i73pfRge4Pn/8PWYOMv9+/fj9cEHsxR/+VOrDQmzfrAwit27d1O0bBnOlg9nLQAjRj04Os6xd8+euAtvbNy4kbSUFE61R1/hfKrdhkXXky6CMhlVVVXU1NTiaDsL/tHpP+Afxdl2hg0bN8YtajIVYVGdD2d4DTYN6XR4BFu3zq1VeJiqqipSUtMmDalbeusBc4TSw1RXV+OXcLlv4nvzhV4rK8vLTTucZl44cYCnn36ahQsW4Lr6+4Tqqev9LdjaznLo0KGY3WwqKytZnJPNn2bZ5vJuh5OKitXk5+fHxK5Eo2kajxw/Dp6+Wa/Gba2fQMCfkOlfFouFbdu382GXPaqQupRwutPBho0bTTfoZDYcP34MOerB2vHZtNtaOz9Djg4Hz78B5OTkUFS4dMow7ESEe5I3bTJnfnW2WCwWtmzehG2gacI0l6WvgfwlS2KivRArKioq0ITgfO+tkbERfzDqtbYq8Q+KkTJvnHh6ejp/9corCHc39ob3EnJMMTqM69rb5OUvmfU4xPFomsbtO3dxtseG2xddMVqrW6NhQGPXrujlRM3Ajh07WFpYhKP1TPS5cZ8Xe8d5du3aRUFBQWwNnITt27fjHmXCG8d0NAzpdLiFqVYzsaCiooKKNWtwdHw6dWRFShzt56ioWMOaNWsSZ+BNbKyp5UKfldEZPIid7bFSsCTflFXOsWLz5s3IEQ/azWqZAR/WgTa2mkzcJjU1lWXLirjcf+tK/NqABX8AQ79n0zFvnDgEv1z3338/tvZzMcujToqUOK++je738p1vfwunM7bDL7Zv344vAB9PUVU5FeFQfLKHYzVN44sPPoBwd6P3N0e1D1vHBaR/lAcffDDG1k3Ohg0bsFmtUU3F+jDUszoXlL5u5r5774XhgSm7DvT+Jhju5957jyTQsluprq5m1B+80UdCQMKlfjvV69bH2TJjCSsHWgZabnhdHwyqVZpRWbBiTSVXBuy3CGmFHftMZLITzbxy4gBPPPFEUO6x7p1ZKblNh63lL+h9jTz37LNxEaBYvXo1aakpUTvxj7tsFC8rMkWF6GzZs2cPC9PTZ1QUNYYMYO84T3V1ddyFQsbjcDhYv2EDf+l2zDiA8FG3nfLysqQcXTkdt912G6lpaVinaDezdl4iJTXN8AfQ8Orss97InHjzkM7QqDT1qi4WZGRksKSgAH2g7YbX9YFWhBCmLBBbvXo1Q6OSVveNLvFyv4XcnGwyM2en1BlP5p0Tt1qtfPc73yHFaSfl8luRFdHMEL2vCXvTB+zduzduOs66rrOxppZPembuBLx+uNBnpXbTLNTnTITNZuNzBw9i6WtEeAdn9Fm9rwm8gxw+fDhO1k3Oli1baHcLWtyRX4YDI4IrfTpbtph7Wlm0WK1W9uzeja2vYeLalYAPW189u3ftxGaL71S/6cjIyCA3J5urEa7Ew9uZeVUXK6rWrsXq7oBx9yZ9qJ2iomWkpqYaZ9gklJWVAVB307m8NminfNVqI0yKmHnnxCFYlPI33/wmwtODI8bjEMXIEClXf0dhURHPP/98XAVUNmzYQK+XGTkBgIt9wb7H9evnTljv7rvvBimnXMFNhLXzMxYsTDekZ7e2thYIqkFFypluK5JgamiuEm5Tmig9ove3IP0+09QDlK9azbXByApMrw7oOB12li5dGmerjKekpAQ5OoyQ1/u2rMO9lJeXGWjV5BQVFWG16NQPXnfibp+g3U1CI3TRMC+dOASHoxw/dgxr12WsndNXw0ZEIIDrym+x6fC973435nnwmwlXu8+0OOpcjwVNM2/fYzTk5eWxprISW/eVyB/KfF5sfY3s27vHkD75vLw8CpcW8HHXTJy4jYUL0sZWDnORqqoqbDY7lr5bnbilrwmrzWZIW9lElJSU0O4GTwQFpvWDVpavWJHwnnYjKCkpCf4Qjqb4hpHeIdPOTbdYLCxbVkzdOCndhtDPY3+LSZn736YpePjhh1m/fgPO+j+jeXpmvT9b8wdoA2289OKLCWmhWLJkCZkZC/lshk78sz4bpaUlMR3uYQb27d2L8PRGfC4tvfXIgJ89e/bE2bLJqandxIU+KyMRjCcNSPikx86GjTVz2hFYrVbWrq3EOsEYYetgK2srKw0PpYdZsWIFAI1DU8sgSwmNQ1ZKSsy9qosV4S4PEXLi2nA/gKmjEMXLl9Psuf69agqd0+LiYqNMioi5eyeIAF3X+cY3XiUtNQXXld9BIPpBz3p/C/aWjzlw4EDCnIIQgjWVVVwciLxf3BcI5uYqK807cjRabrvtNoQQEc80tvTUkZW1yNAcZU1NDaMhbebpaBzU6fOGRuzOcdauXYtwd4Nv3EQs/wjC3W2qCFL4Bj/dMJQer4Z7VJreIcSKjIwM7HbH2D1V8w4AmFqToqioiG4PYxXqzUM6Drvd9LLG89qJA2RlZfFXfxXsH496RrV/FFfdH8jLy+fZZ5+NrYHTsGbNGjrc0OuNLPdeP6gz4jd332O0ZGVlsXLVqmBR1HQEfNgGWti+/TZDB79UVVVh0fUxEZCp+KQnuI1ZNZxjSfjBSh+nsKgPdd3wnhlYvHgxdrttbNU2GeH3i4qKEmGW4QghyM7JhlBOXBsZAjC1QwxHT73+4P2g2a1TWLjU9IOh5r0Th2CV8N1334297ZNbBQoiwN54GryDfOMbr8Y9D34zFRUVAFzqjyykfim04lu92twVl9GybetWxFAnYsQ95Xb6QCvSP2p4r7XT6WTNmjWc7Zk+mvJJt42iwqVzanzlZISLiTT39esxLJlspnoATdMoKiyk2T2NEw+9v2zZsgRYZQ5ysrMRoRHQYsSNw+kydQovnAIIi/e0D9tYUmDe8H8Y5cRDnDhxgvT0dFx1f5yRDrc22IGt/RxHDh82ZHVbWlqK1aJPqvt7M5f6LGRnZZr6iXg2hOUs9UkGMISx9DZitVpNUSC1saaGugGN/pHJn/hHQiH3jTW1CbTMONLT00nPyER3X69v0D09LFyYTkZGhoGW3cqy4uU0uafO0TcP6SxISyU9PT1BVhlPVlYWInQvFaNuU/daQ7DQFGAkIJASOj3BuiOzY4gTF0LcJYS4IIS4JIR4xQgbbiYtLY1nn3kGMdSJtfNiZB+SEmfDn0lPz+Cxxx6Lr4GTYLPZKCkpjXwlPmBn9Rrz5BRjzYoVK1iYno5lmjnjtoFmqtetw26fnf58LAgrWH3aM/k5vNRvYcSPKdWu4sXy5cXow71jv+vDvaxYYb7q5qKiInqGmVICuWnIwrLiYtOHZmNJRkZGMJwuQfN5WJRlbifucDjIzEhnNCDwyWBuPOzYzUzCnbgQQgf+d2A/sBp4UAhhitju7t27qahYg6P5w4hEYCw9V9EG23nyyScMHSu4prKSKwOWaYdp9HoFnZ65mQ8Po2katTU12AZaJm01E95B8PRSa5ICsbKyMlJcTs5OkRc/221F0zSqqqoSaJmxFC9bhj7cFxQMkaAP95lqcEaYcLHaZHlxKaHJbWXZsvlR1Bbm+spbovu8pl+JA+Tm5jEagNFA8GErGTTujViJ1wKXpJRXpJQjwE+Aewyw4xaEEJw48SSMuLG1n5t6YxnA2fwhhUVF3HHHHYkxcBIqKioY9UPd4NQh9YtzPB8epqamBjnqmXTsrCUkImKWKm9d16let55PeycfdXi2x86qleVzcgb1ZBQWFiL9owjpR0g/0jdiaifeMEmFeleoMt2sPdLxIpz2ENKP8HlMlwaZiMW5uYwGtLG8uHLiE7MEGF8+3Bh6zRRUVlaysaYmNNd48pGllu5r4OnjsUcfRdenLmqJN+GV9cVpNJw/67Ngs1pNVRgUD8YGMEwSUtf7msjIzDRVpfCGDRvo8EC759ZLcmhUcHVAZ/2GuV+VPp6xiXIB31irkhmd+OLFi3E5HTRM8hAdbj+br06cQAA56k0KJ56dnY0vAL7QSjwZikhNW9gmhHhCCHFaCHG6o6Mjocd+6EtfCs41Dkl4BlyZBFzjQkFSYm/7hCUFBaaQf1y0aBF5uYu5MK64rTDVR2HqjQ8hF/tsrFy1Eqs1uqEpyUJWVhbFy5ePrbhvOH8ygG2whc2bNpkqPxmWwA3nxcefvwu9FqScWzK5kRB24tLiQFrsN7xmJjRNY8WKkjHJzpuvvfDrYWGY+UI4fC512w2/m5msrCwkYNEkKS4nDsfk0TGzYIQTbwLG1+0XhF67ASnlf5FSbpRSbkz001BVVRUrSkqwd5wDKfEWbsZbeF2rWhvqQBvq5Oj995tGOWttVTUX++1jaeCHytw8VHa9zcrjg2sDOlUmHm4fSzbV1qIPtoF/9Ibzpw11IUeHTddrXVRUREb6Qs6HnPj483eu14rNap3zaZCbyc7Oxmq1EnBlEUhZhG6xmHZlVFpWRv2QlYC89dq7NqCTn5c7r1IhcH0lLu3BgSfJ4sQBNEHSTAk0wgO9B5QKIYqFEDbgAeDfDLBjUoQQHP785xHuHrShW6MA1o4L2O0O9u3bZ4B1E7N27Vr6vUzar3qxL3iDmS+FURs3bgQZQB+4UbrTEmo9M1uVtxCC6nXrOddnv6Ue73yvnYqKClNU0icSTdNYnJuH8PYjvP3k5uYZnrqajLKyMrw+ScsE19+1QTvlK80jUJMo0tPTEUKM1aYkgxMP29g0ZCFr0SKDrYmMhDtxKaUPeAb4FXAO+Ccp5dlE2zEdu3btwmaz39puFvBh77nG7t27TCVcEHbOFybJi1/otaDr2pg4zFynsrISq9U6FlIPY+lvZsWKElP261ZXV9MzDB3D1y9Lt09QP6BRZYJ+diMoWJKPZWQQy8ggBUvMK9kZrjO51n+jEx8YCXaElJeXG2GWoei6zoKF6eihWQbJ4MTH3xfS082fwweDcuJSyp9LKcuklCuklP/JCBumIyUlhW3btmLvrbtB/MXS24j0j7J3714DrbuVJUuWsCgrc9Je4/O9NsrLyhKuKGcUdrudysq1WAdarr/o96EPdVBTY65Qepi1a4N69hfGDbS52GtBjntvvpGbm4s2Mog2Mmjqnt2ioiIcdjtXbppHHf59PjpxgKxxveHJ4MQXLlw44c9mxhwJXZOyc+dO5Ogw+kDb2GuW3jpS09JMF5YOh2MvTBCO9frhSr+F6nXzqzBqw4b1CHc3YnQYIJgjD/hZt26dwZZNTFFREakpLj4bF035rC84NtZMeuGJJDc3F+kbQY56Ta0yqOs6ZeVlXBm4Ubntar8FIcSc7wiZjKyQ405JTTVk3O9MUU58jlFTU4Ou61j6GoMvSImtv4ktmzeb8gtZXV1Nnxda3Dee1ot9VvzzKB8eJvz3hvPi+kCrqeeoa5pGxZo1XBrnCC73WylZsXzeRFBuZnwhm5mdOMDKlauoH9BvEF260m9hacGSeVfUFia8+k6W0PT4+3paWpqBlkSOcuJT4HK5qKhYMxaS1dzBymaziITczETh2ODvFjQh5rRS20SUl5djtVqDK3DAMtjOihJzz1FfuXIVzUMaw76g7OPVQRurVs+POoaJGB+CNXu18KpVqxgNXJ8tLtX5G1vNZmaYrwZlOlJTU402ISKUE5+GdeuqEUOd4B8ZC6ubNRy7dOlS0hcuuMWJf9ZrZcWKFfNuNWC1WikrK8cy1AEygMXdSaXJH2TKy8uRMqi+1+bR8IzKeZtPhRuduNnFQsIh86v9wdVcj1ejzzt/8+FwfTWbjJGkZLlfKic+DeHVqz7YgT7UTtaibNP2qgohqFxbdUM41heAywNW1s6zUHqYVatWonu60Tx9SP+o6W+oJSUlQFDCM6wAFn5tPpJMOcr8/HxSXM4x+eNrA8EV+XzNh8N1J24mYaVISZYHD+XEpyF8AWrubqyeblavWmmwRVOzZs0a2t2CvtBYy4ZBnRE/86a17GZKSkqQfh+Wnqtjv5uZ7Oxs0lJcNAxaaBzU0YQwlTxsohkf0jR7jlIIQUlpKXWDwUhY3WCwqG2+ya2OJ5y6Uk48fignPg0LFy4kIzMLfagDPH2ml04MVzFfCYX0wv+fb2pfYcLDKSw9dQghWLp06TSfMBYhBIVFy2h16zS7dXJzc+adyMt4xhcambGY9GZKSkppHNQJyOADdH5erqlrMOJN2BHKSSYKmplkkFwF5cQjorh4GZbe4MwWMw5gGE9paSmaEGN5uSsDFtIXpCXFNJ54ENba1j095CxejM1mm+YTxrO0sJDWYSttHitLC5cZbY5iBhQXF+P1Q4dHo8ltY/kKc0d+4k1YYS8ZV+LJ8vCsnHgELMnPR8jgFKUlS0wzcG1CnE4nBQVLxvJy9YM2SsrKk/IiigUpKSmkhsKwBSY/d2Hy8/PpGYbmIY38fPOqlCluJZz6aBzSaXPP71QIXF/NmlmoZzKSZVCU+eNTJiA3N3fs52RY0ZaUlvHxnxrxB6BpSGOLyfPA8SY7O5vBgQHTFiTeTPg7NhpIju9bvNm6dSuBJAnHhiM/n3TbCEhzTl1LJGvXruXll19m69atRpsyY5QTn0OM7081e4UswLJly3jzzeBqwBdg3q8GsjIzuXrliun7jMOMt3NRkgxhiCff//73jTYhYtLT03E67HzaE4zczfdIisViYf/+/UabERXJUIMBKpweEeP7U5MhLB3O23/Yabvh9/lKuLDIjENPJmJ8b3Qy6E0rriOEIDc3d2ya2fgoniI5CPeHm3Vi3s0kx6OGwYTlHs2eDw8Tfvo/2x0MByWL3fHi4YcfZsmSJezatctoUyLixklKyfHgobhOds5irl6rQxNCPYQlIa+++iq/+MXPk6bFTDnxCCguLuZHP/pR0lyQ4SKSC31WHHZ7UqQA4klpaSmlpaVGmxEx4/uhk0X6UXGdcDokfeGCpAnJKq6zbds2tm3bZrQZEaO+YRGSTIINqampOOw2hr0j5GQvSooUgOI64wtqlBNPPsLRExVFUSQC5cTnIEIIsrKyaGpuISvb3JOfFBPz1FNPMTQ0NK+FQpKVBQsWAOBwJYf2tiK5UU58jpKRmUlTc4vph0YoJubo0aNGm6CIku3bt3P58mVuv/12o01RzAOUE5+j5Obm8cknZ1WfsUKRYAoKCvjrv/5ro81QzBNEMmjabty4UZ4+fdpoM5IKt9vN1atXKSkpSRr5QIVCoVAEEUK8L6XcON12aiU+R3G5XPN2cplCoVDMF5TYi0KhUCgUSYpy4gqFQqFQJCnKiSsUCoVCkaQoJ65QKBQKRZKinLhCoVAoFEmKcuIKhUKhUCQpyokrFAqFQpGkKCeuUCgUCkWSopy4QqFQKBRJinLiCoVCoVAkKcqJKxQKhUKRpCgnrlAoFApFkpIUU8yEEB1AndF2xJFFQKfRRiiiQp275Eadv+Rlrp+7Iill9nQbJYUTn+sIIU5HMnJOYT7UuUtu1PlLXtS5C6LC6QqFQqFQJCnKiSsUCoVCkaQoJ24O/ovRBiiiRp275Eadv+RFnTtUTlyhUCgUiqRFrcQVCoVCoUhSlBM3ECHEj4QQ7UKIT4y2RTEzhBBLhRBvCSE+FUKcFUJ81WibFJEhhHAIIU4JIf4SOnffNtomxcwRQuhCiA+FEK8bbYuRKCduLH8H3GW0EYqo8AHPSylXA5uBp4UQqw22SREZXmC3lLIKqAbuEkJsNtgmxcz5KnDOaCOMRjlxA5FSvg10G22HYuZIKVuklB+Efh4geDNZYqxVikiQQQZDv1pD/6nioCRCCFEA3A38X0bbYjTKiSsUs0QIsQxYB/zZWEsUkRIKxX4EtAO/llKqc5dc/GfgJSBgtCFGo5y4QjELhBCpwGvA16SU/Ubbo4gMKaVfSlkNFAC1Qog1RtukiAwhxEGgXUr5vtG2mAHlxBWKKBFCWAk68P8upfyp0fYoZo6Ushd4C1WbkkxsAw4JIa4BPwF2CyF+bKxJxqGcuEIRBUIIAfxX4JyU8n8z2h5F5AghsoUQ6aGfncA+4LyxVikiRUr5V1LKAinlMuAB4E0p5UMGm2UYyokbiBDiH4A/AeVCiEYhxGNG26SImG3AwwRXAR+F/jtgtFGKiMgD3hJCfAy8RzAnPq/blBTJi1JsUygUCoUiSVErcYVCoVAokhTlxBUKhUKhSFKUE1coFAqFIklRTlyhUCgUiiRFOXGFQqFQKJIUi9EGKBSK+CGEyALeCP2aC/iBjtDvtVLKkTgccz2QI6X8Zaz3rVAobkQ5cYViDiOl7CI4qQshxLeAQSnl/xrp54UQupTSP8PDrgfWAMqJKxRxRoXTFYp5ihDifwoh3g/N1P5K6DWLEKJXCPGfQ2IotUKIQ0KIC6FtfyiE+B+hbVOFEH8Xms39oRDicyEFtG8CXwoJ4Nxn4J+oUMx51EpcoZi/HJNSdgshXMBpIcRrwACwEHhbSvm10HufEVSoqwf+adznvwn8Ukp5XAiRQXCK21rgO8AaKeXXEvnHKBTzEbUSVyjmL18XQvyFoPRvAbAi9PoI8C+hn1cDF6SUdTIo7/gP4z5/B/CN0EjPtwAHUJgQyxUKBaBW4grFvEQIsRfYAWyWUnqEEH8g6IQBPDIyPWYBfF5Kefmmfe+IrbUKhWIy1EpcoZifLAS6Qw68AqiZZLtPCQ7oWRqa3PaFce/9Cng2/IsQYl3oxwEgLQ42KxSKm1BOXKGYn/wMcAkhPgW+RzCffQtSSjfwDPAb4DTQC/SF3v42kCKEOCOEOAt8K/T6m0BVqNhNFbYpFHFETTFTKBRTIoRIlVIOhlbi/wdwRkr5Q6PtUigUaiWuUCim52SoeO1TwAn8nwbbo1AoQqiVuEKhUCgUSYpaiSsUCoVCkaQoJ65QKBQKRZKinLhCoVAoFEmKcuIKhUKhUCQpyokrFAqFQpGkKCeuUCgUCkWS8v8DOFHA0zE9PyoAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 576x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize = (8,6))\n",
    "sns.violinplot(x = 'Target', y = 'meaneduc',\n",
    "               hue = 'gender', data = label_df);"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "`dependency`,`edjefe`,`edjefa`与`target`之间的联系"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1512x288 with 3 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize = (21, 4))\n",
    "\n",
    "# Iterate through the variables\n",
    "for i, col in enumerate(['dependency', 'edjefa', 'edjefe']):\n",
    "    ax = plt.subplot(1, 3, i+ 1)\n",
    "    # Violinplot colored by `Target`\n",
    "    sns.violinplot(x = 'Target', y = col, ax = ax, data = label_df, hue = 'gender')\n",
    "    plt.title('%s by Target'%col.capitalize())\n",
    "    plt.grid(axis = 'y', color='green', linestyle='-.')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "_uuid": "2f588cfcd36a51338f3fe79e5209c7bb74dc423a"
   },
   "source": [
    "## Define Variable Categories\n",
    "\n",
    "\n",
    "在进行数据聚合之前，还要对特征变量分类(参考特征描述：feature_desp)\n",
    "\n",
    "- 1.属于描述个人信息的特征\n",
    "    - 布尔型\n",
    "    - 连续型\n",
    "- 2.描述家庭信息的特征\n",
    "    - 布尔型\n",
    "    - 连续型\n",
    "- 3.id&target"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# float类型"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
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       "\n",
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       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>description</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>F_name</th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>v2a1</th>\n",
       "      <td>Monthly rent payment</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>v18q1</th>\n",
       "      <td>number of tablets household owns</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>rez_esc</th>\n",
       "      <td>Years behind in school</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>dependency</th>\n",
       "      <td>Dependency rate calculated = (number of members of the household younger than 19 or older than 64)/(number of member of household between 19 and 64)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>edjefe</th>\n",
       "      <td>years of education of male head of household based on the interaction of escolari (years of education) head of household and gender yes=1 and no=0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>edjefa</th>\n",
       "      <td>years of education of female head of household based on the interaction of escolari (years of education) head of household and gender yes=1 and no=0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>meaneduc</th>\n",
       "      <td>average years of education for adults (18+)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>overcrowding</th>\n",
       "      <td># persons per room</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>SQBovercrowding</th>\n",
       "      <td>overcrowding squared</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>SQBdependency</th>\n",
       "      <td>dependency squared</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>SQBmeaned</th>\n",
       "      <td>square of the mean years of education of adults (&gt;=18) in the household</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                                                                                                                                           description\n",
       "F_name                                                                                                                                                                \n",
       "v2a1                                                                                                                                              Monthly rent payment\n",
       "v18q1                                                                                                                                 number of tablets household owns\n",
       "rez_esc                                                                                                                                         Years behind in school\n",
       "dependency        Dependency rate calculated = (number of members of the household younger than 19 or older than 64)/(number of member of household between 19 and 64)\n",
       "edjefe              years of education of male head of household based on the interaction of escolari (years of education) head of household and gender yes=1 and no=0\n",
       "edjefa            years of education of female head of household based on the interaction of escolari (years of education) head of household and gender yes=1 and no=0\n",
       "meaneduc                                                                                                                   average years of education for adults (18+)\n",
       "overcrowding                                                                                                                                        # persons per room\n",
       "SQBovercrowding                                                                                                                                   overcrowding squared\n",
       "SQBdependency                                                                                                                                       dependency squared\n",
       "SQBmeaned                                                                                      square of the mean years of education of adults (>=18) in the household"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "feature_desp.ix[list(train.select_dtypes(['float']).columns)]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>v2a1</th>\n",
       "      <th>v18q1</th>\n",
       "      <th>rez_esc</th>\n",
       "      <th>dependency</th>\n",
       "      <th>edjefe</th>\n",
       "      <th>...</th>\n",
       "      <th>meaneduc</th>\n",
       "      <th>overcrowding</th>\n",
       "      <th>SQBovercrowding</th>\n",
       "      <th>SQBdependency</th>\n",
       "      <th>SQBmeaned</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>3775</th>\n",
       "      <td>180000.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>15.0</td>\n",
       "      <td>...</td>\n",
       "      <td>15.5</td>\n",
       "      <td>2.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>240.25</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3776</th>\n",
       "      <td>180000.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>15.0</td>\n",
       "      <td>...</td>\n",
       "      <td>15.5</td>\n",
       "      <td>2.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>240.25</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3777</th>\n",
       "      <td>180000.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>15.0</td>\n",
       "      <td>...</td>\n",
       "      <td>15.5</td>\n",
       "      <td>2.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>240.25</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3778</th>\n",
       "      <td>180000.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>15.0</td>\n",
       "      <td>...</td>\n",
       "      <td>15.5</td>\n",
       "      <td>2.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>240.25</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>4 rows × 11 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "          v2a1  v18q1  rez_esc  dependency  edjefe    ...      meaneduc  \\\n",
       "3775  180000.0    2.0      NaN         1.0    15.0    ...          15.5   \n",
       "3776  180000.0    2.0      NaN         1.0    15.0    ...          15.5   \n",
       "3777  180000.0    2.0      0.0         1.0    15.0    ...          15.5   \n",
       "3778  180000.0    2.0      0.0         1.0    15.0    ...          15.5   \n",
       "\n",
       "      overcrowding  SQBovercrowding  SQBdependency  SQBmeaned  \n",
       "3775           2.0              4.0            1.0     240.25  \n",
       "3776           2.0              4.0            1.0     240.25  \n",
       "3777           2.0              4.0            1.0     240.25  \n",
       "3778           2.0              4.0            1.0     240.25  \n",
       "\n",
       "[4 rows x 11 columns]"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 这些特征在一个家庭中的情况'001ff74ca\n",
    "indexs = list(train.select_dtypes(['float']).columns)\n",
    "train.loc[train.idhogar == norm.index[5],indexs]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# int类型\n",
    "\n",
    "int类型的特征较多，可以分为两类，布尔型（只有０/1)和非布尔型的．"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [],
   "source": [
    "# int 类型特征列名\n",
    "int_cols = list(train.select_dtypes(['int']).columns)\n",
    "\n",
    "# int类型，bool类型的特征列名\n",
    "bool_cols = list(train[int_cols].nunique()[train[int_cols].nunique() == 2].index)\n",
    "\n",
    "# int类型，non bool的特征列名\n",
    "non_bool_cols = list(train[int_cols].nunique()[train[int_cols].nunique() !=2].index)\n",
    "\n",
    "# elimbasu5是个特例，他是bool型的，只是在训练数据中，没有出现过１，全是０\n",
    "non_bool_cols.remove('elimbasu5')\n",
    "bool_cols.append('elimbasu5')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "先看看non_bool_cols的特征描述信息"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>description</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>F_name</th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>rooms</th>\n",
       "      <td>number of all rooms in the house</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>r4h1</th>\n",
       "      <td>Males younger than 12 years of age</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>r4h2</th>\n",
       "      <td>Males 12 years of age and older</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>r4h3</th>\n",
       "      <td>Total males in the household</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>r4m1</th>\n",
       "      <td>Females younger than 12 years of age</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>r4m2</th>\n",
       "      <td>Females 12 years of age and older</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>r4m3</th>\n",
       "      <td>Total females in the household</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>r4t1</th>\n",
       "      <td>persons younger than 12 years of age</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>r4t2</th>\n",
       "      <td>persons 12 years of age and older</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>r4t3</th>\n",
       "      <td>Total persons in the household</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>tamhog</th>\n",
       "      <td>size of the household</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>tamviv</th>\n",
       "      <td>number of persons living in the household</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>escolari</th>\n",
       "      <td>years of schooling</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>hhsize</th>\n",
       "      <td>household size</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>hogar_nin</th>\n",
       "      <td>Number of children 0 to 19 in household</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>hogar_adul</th>\n",
       "      <td>Number of adults in household</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>hogar_mayor</th>\n",
       "      <td># of individuals 65+ in the household</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>hogar_total</th>\n",
       "      <td># of total individuals in the household</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>bedrooms</th>\n",
       "      <td>number of bedrooms</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>qmobilephone</th>\n",
       "      <td># of mobile phones</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>age</th>\n",
       "      <td>Age in years</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>SQBescolari</th>\n",
       "      <td>escolari squared</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>SQBage</th>\n",
       "      <td>age squared</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>SQBhogar_total</th>\n",
       "      <td>hogar_total squared</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>SQBedjefe</th>\n",
       "      <td>edjefe squared</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>SQBhogar_nin</th>\n",
       "      <td>hogar_nin squared</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>agesq</th>\n",
       "      <td>Age squared</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Target</th>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                               description\n",
       "F_name                                                    \n",
       "rooms                     number of all rooms in the house\n",
       "r4h1                    Males younger than 12 years of age\n",
       "r4h2                       Males 12 years of age and older\n",
       "r4h3                          Total males in the household\n",
       "r4m1                  Females younger than 12 years of age\n",
       "r4m2                     Females 12 years of age and older\n",
       "r4m3                        Total females in the household\n",
       "r4t1                  persons younger than 12 years of age\n",
       "r4t2                     persons 12 years of age and older\n",
       "r4t3                        Total persons in the household\n",
       "tamhog                               size of the household\n",
       "tamviv           number of persons living in the household\n",
       "escolari                                years of schooling\n",
       "hhsize                                      household size\n",
       "hogar_nin          Number of children 0 to 19 in household\n",
       "hogar_adul                   Number of adults in household\n",
       "hogar_mayor          # of individuals 65+ in the household\n",
       "hogar_total        # of total individuals in the household\n",
       "bedrooms                                number of bedrooms\n",
       "qmobilephone                            # of mobile phones\n",
       "age                                           Age in years\n",
       "SQBescolari                               escolari squared\n",
       "SQBage                                         age squared\n",
       "SQBhogar_total                         hogar_total squared\n",
       "SQBedjefe                                   edjefe squared\n",
       "SQBhogar_nin                             hogar_nin squared\n",
       "agesq                                          Age squared\n",
       "Target                                                 NaN"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "feature_desp.ix[non_bool_cols]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {
    "_uuid": "c267a123802ebc2d6bd335abcad334f35306a070"
   },
   "outputs": [
    {
     "data": {
      "text/html": [
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       "    .dataframe thead th {\n",
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>rooms</th>\n",
       "      <th>r4h1</th>\n",
       "      <th>r4h2</th>\n",
       "      <th>r4h3</th>\n",
       "      <th>r4m1</th>\n",
       "      <th>r4m2</th>\n",
       "      <th>r4m3</th>\n",
       "      <th>r4t1</th>\n",
       "      <th>r4t2</th>\n",
       "      <th>r4t3</th>\n",
       "      <th>tamhog</th>\n",
       "      <th>tamviv</th>\n",
       "      <th>escolari</th>\n",
       "      <th>hhsize</th>\n",
       "      <th>hogar_nin</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>3775</th>\n",
       "      <td>4</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>15</td>\n",
       "      <td>4</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3776</th>\n",
       "      <td>4</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>16</td>\n",
       "      <td>4</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3777</th>\n",
       "      <td>4</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>2</td>\n",
       "      <td>4</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3778</th>\n",
       "      <td>4</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      rooms  r4h1  r4h2  r4h3  r4m1  r4m2  r4m3  r4t1  r4t2  r4t3  tamhog  \\\n",
       "3775      4     1     1     2     1     1     2     2     2     4       4   \n",
       "3776      4     1     1     2     1     1     2     2     2     4       4   \n",
       "3777      4     1     1     2     1     1     2     2     2     4       4   \n",
       "3778      4     1     1     2     1     1     2     2     2     4       4   \n",
       "\n",
       "      tamviv  escolari  hhsize  hogar_nin  \n",
       "3775       4        15       4          2  \n",
       "3776       4        16       4          2  \n",
       "3777       4         2       4          2  \n",
       "3778       4         4       4          2  "
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 具体到一个家庭的情况\n",
    "pd.options.display.max_columns = 15\n",
    "train.loc[train.idhogar == norm.index[5], non_bool_cols[:15]]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
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       "\n",
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       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
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       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>hogar_adul</th>\n",
       "      <th>hogar_mayor</th>\n",
       "      <th>hogar_total</th>\n",
       "      <th>bedrooms</th>\n",
       "      <th>qmobilephone</th>\n",
       "      <th>age</th>\n",
       "      <th>SQBescolari</th>\n",
       "      <th>SQBage</th>\n",
       "      <th>SQBhogar_total</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>3775</th>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>4</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>39</td>\n",
       "      <td>225</td>\n",
       "      <td>1521</td>\n",
       "      <td>16</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3776</th>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>4</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>36</td>\n",
       "      <td>256</td>\n",
       "      <td>1296</td>\n",
       "      <td>16</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3777</th>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>4</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>8</td>\n",
       "      <td>4</td>\n",
       "      <td>64</td>\n",
       "      <td>16</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3778</th>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>4</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>11</td>\n",
       "      <td>16</td>\n",
       "      <td>121</td>\n",
       "      <td>16</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      hogar_adul  hogar_mayor  hogar_total  bedrooms  qmobilephone  age  \\\n",
       "3775           2            0            4         2             2   39   \n",
       "3776           2            0            4         2             2   36   \n",
       "3777           2            0            4         2             2    8   \n",
       "3778           2            0            4         2             2   11   \n",
       "\n",
       "      SQBescolari  SQBage  SQBhogar_total  \n",
       "3775          225    1521              16  \n",
       "3776          256    1296              16  \n",
       "3777            4      64              16  \n",
       "3778           16     121              16  "
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "train.loc[train.idhogar == norm.index[5], non_bool_cols[15:24]]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
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       "\n",
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>SQBedjefe</th>\n",
       "      <th>SQBhogar_nin</th>\n",
       "      <th>agesq</th>\n",
       "      <th>Target</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>3775</th>\n",
       "      <td>225</td>\n",
       "      <td>4</td>\n",
       "      <td>1521</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3776</th>\n",
       "      <td>225</td>\n",
       "      <td>4</td>\n",
       "      <td>1296</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3777</th>\n",
       "      <td>225</td>\n",
       "      <td>4</td>\n",
       "      <td>64</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3778</th>\n",
       "      <td>225</td>\n",
       "      <td>4</td>\n",
       "      <td>121</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      SQBedjefe  SQBhogar_nin  agesq  Target\n",
       "3775        225             4   1521       4\n",
       "3776        225             4   1296       4\n",
       "3777        225             4     64       4\n",
       "3778        225             4    121       4"
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "train.loc[train.idhogar == norm.index[5], non_bool_cols[24:]]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "总结一下：个人特征：escolari,age,SQBescolari,SQBage,agesq,剩余的为家庭的特征"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "bool类型的int类型的特征"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "    .dataframe tbody tr th:only-of-type {\n",
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       "    }\n",
       "\n",
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>description</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>F_name</th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>hacdor</th>\n",
       "      <td>=1 Overcrowding by bedrooms</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>hacapo</th>\n",
       "      <td>=1 Overcrowding by rooms</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>v14a</th>\n",
       "      <td>=1 has bathroom in the household</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>refrig</th>\n",
       "      <td>=1 if the household has refrigerator</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>v18q</th>\n",
       "      <td>owns a tablet</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>paredblolad</th>\n",
       "      <td>=1 if predominant material on the outside wall is block or brick</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>paredzocalo</th>\n",
       "      <td>=1 if predominant material on the outside wall is socket wood zinc or absbesto</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>paredpreb</th>\n",
       "      <td>=1 if predominant material on the outside wall is prefabricated or cement</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>pareddes</th>\n",
       "      <td>=1 if predominant material on the outside wall is waste material</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>paredmad</th>\n",
       "      <td>=1 if predominant material on the outside wall is wood</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>paredzinc</th>\n",
       "      <td>=1 if predominant material on the outside wall is zink</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>paredfibras</th>\n",
       "      <td>=1 if predominant material on the outside wall is natural fibers</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>paredother</th>\n",
       "      <td>=1 if predominant material on the outside wall is other</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>pisomoscer</th>\n",
       "      <td>=1 if predominant material on the floor is mosaic  ceramic terrazo</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>pisocemento</th>\n",
       "      <td>=1 if predominant material on the floor is cement</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>pisoother</th>\n",
       "      <td>=1 if predominant material on the floor is other</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>pisonatur</th>\n",
       "      <td>=1 if predominant material on the floor is  natural material</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>pisonotiene</th>\n",
       "      <td>=1 if no floor at the household</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>pisomadera</th>\n",
       "      <td>=1 if predominant material on the floor is wood</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>techozinc</th>\n",
       "      <td>=1 if predominant material on the roof is metal foil or zink</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>techoentrepiso</th>\n",
       "      <td>=1 if predominant material on the roof is fiber cement mezzanine</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>techocane</th>\n",
       "      <td>=1 if predominant material on the roof is natural fibers</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>techootro</th>\n",
       "      <td>=1 if predominant material on the roof is other</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>cielorazo</th>\n",
       "      <td>=1 if the house has ceiling</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>abastaguadentro</th>\n",
       "      <td>=1 if water provision inside the dwelling</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>abastaguafuera</th>\n",
       "      <td>=1 if water provision outside the dwelling</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>abastaguano</th>\n",
       "      <td>=1 if no water provision</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>public</th>\n",
       "      <td>=1 electricity from CNFL  ICE  ESPH/JASEC</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>planpri</th>\n",
       "      <td>=1 electricity from private plant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>noelec</th>\n",
       "      <td>=1 no electricity in the dwelling</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                                                                     description\n",
       "F_name                                                                                          \n",
       "hacdor                                                               =1 Overcrowding by bedrooms\n",
       "hacapo                                                                  =1 Overcrowding by rooms\n",
       "v14a                                                            =1 has bathroom in the household\n",
       "refrig                                                      =1 if the household has refrigerator\n",
       "v18q                                                                               owns a tablet\n",
       "paredblolad                     =1 if predominant material on the outside wall is block or brick\n",
       "paredzocalo       =1 if predominant material on the outside wall is socket wood zinc or absbesto\n",
       "paredpreb              =1 if predominant material on the outside wall is prefabricated or cement\n",
       "pareddes                        =1 if predominant material on the outside wall is waste material\n",
       "paredmad                                  =1 if predominant material on the outside wall is wood\n",
       "paredzinc                                 =1 if predominant material on the outside wall is zink\n",
       "paredfibras                     =1 if predominant material on the outside wall is natural fibers\n",
       "paredother                               =1 if predominant material on the outside wall is other\n",
       "pisomoscer                    =1 if predominant material on the floor is mosaic  ceramic terrazo\n",
       "pisocemento                                    =1 if predominant material on the floor is cement\n",
       "pisoother                                       =1 if predominant material on the floor is other\n",
       "pisonatur                           =1 if predominant material on the floor is  natural material\n",
       "pisonotiene                                                      =1 if no floor at the household\n",
       "pisomadera                                       =1 if predominant material on the floor is wood\n",
       "techozinc                           =1 if predominant material on the roof is metal foil or zink\n",
       "techoentrepiso                 =1 if predominant material on the roof is fiber cement mezzanine \n",
       "techocane                               =1 if predominant material on the roof is natural fibers\n",
       "techootro                                        =1 if predominant material on the roof is other\n",
       "cielorazo                                                            =1 if the house has ceiling\n",
       "abastaguadentro                                        =1 if water provision inside the dwelling\n",
       "abastaguafuera                                        =1 if water provision outside the dwelling\n",
       "abastaguano                                                             =1 if no water provision\n",
       "public                                                 =1 electricity from CNFL  ICE  ESPH/JASEC\n",
       "planpri                                                        =1 electricity from private plant\n",
       "noelec                                                         =1 no electricity in the dwelling"
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "feature_desp.ix[bool_cols[:30]]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  <tbody>\n",
       "    <tr>\n",
       "      <th>coopele</th>\n",
       "      <td>=1 electricity from cooperative</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>sanitario1</th>\n",
       "      <td>=1 no toilet in the dwelling</td>\n",
       "    </tr>\n",
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       "      <th>sanitario2</th>\n",
       "      <td>=1 toilet connected to sewer or cesspool</td>\n",
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       "      <th>sanitario3</th>\n",
       "      <td>=1 toilet connected to  septic tank</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>sanitario5</th>\n",
       "      <td>=1 toilet connected to black hole or letrine</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>sanitario6</th>\n",
       "      <td>=1 toilet connected to other system</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>energcocinar1</th>\n",
       "      <td>=1 no main source of energy used for cooking (no kitchen)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>energcocinar2</th>\n",
       "      <td>=1 main source of energy used for cooking electricity</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>energcocinar3</th>\n",
       "      <td>=1 main source of energy used for cooking gas</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>energcocinar4</th>\n",
       "      <td>=1 main source of energy used for cooking wood charcoal</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>elimbasu1</th>\n",
       "      <td>=1 if rubbish disposal mainly by tanker truck</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>elimbasu2</th>\n",
       "      <td>=1 if rubbish disposal mainly by botan hollow or buried</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>elimbasu3</th>\n",
       "      <td>=1 if rubbish disposal mainly by burning</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>elimbasu4</th>\n",
       "      <td>=1 if rubbish disposal mainly by throwing in an unoccupied space</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>elimbasu6</th>\n",
       "      <td>=1 if rubbish disposal mainly other</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>epared1</th>\n",
       "      <td>=1 if walls are bad</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>epared2</th>\n",
       "      <td>=1 if walls are regular</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>epared3</th>\n",
       "      <td>=1 if walls are good</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>etecho1</th>\n",
       "      <td>=1 if roof are bad</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>etecho2</th>\n",
       "      <td>=1 if roof are regular</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>etecho3</th>\n",
       "      <td>=1 if roof are good</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>eviv1</th>\n",
       "      <td>=1 if floor are bad</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>eviv2</th>\n",
       "      <td>=1 if floor are regular</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>eviv3</th>\n",
       "      <td>=1 if floor are good</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>dis</th>\n",
       "      <td>=1 if disable person</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>male</th>\n",
       "      <td>=1 if male</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>female</th>\n",
       "      <td>=1 if female</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>estadocivil1</th>\n",
       "      <td>=1 if less than 10 years old</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>estadocivil2</th>\n",
       "      <td>=1 if free or coupled uunion</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>estadocivil3</th>\n",
       "      <td>=1 if married</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                                                     description\n",
       "F_name                                                                          \n",
       "coopele                                          =1 electricity from cooperative\n",
       "sanitario1                                          =1 no toilet in the dwelling\n",
       "sanitario2                              =1 toilet connected to sewer or cesspool\n",
       "sanitario3                                   =1 toilet connected to  septic tank\n",
       "sanitario5                          =1 toilet connected to black hole or letrine\n",
       "sanitario6                                   =1 toilet connected to other system\n",
       "energcocinar1          =1 no main source of energy used for cooking (no kitchen)\n",
       "energcocinar2              =1 main source of energy used for cooking electricity\n",
       "energcocinar3                      =1 main source of energy used for cooking gas\n",
       "energcocinar4            =1 main source of energy used for cooking wood charcoal\n",
       "elimbasu1                          =1 if rubbish disposal mainly by tanker truck\n",
       "elimbasu2                =1 if rubbish disposal mainly by botan hollow or buried\n",
       "elimbasu3                               =1 if rubbish disposal mainly by burning\n",
       "elimbasu4       =1 if rubbish disposal mainly by throwing in an unoccupied space\n",
       "elimbasu6                                    =1 if rubbish disposal mainly other\n",
       "epared1                                                      =1 if walls are bad\n",
       "epared2                                                  =1 if walls are regular\n",
       "epared3                                                     =1 if walls are good\n",
       "etecho1                                                       =1 if roof are bad\n",
       "etecho2                                                   =1 if roof are regular\n",
       "etecho3                                                      =1 if roof are good\n",
       "eviv1                                                        =1 if floor are bad\n",
       "eviv2                                                    =1 if floor are regular\n",
       "eviv3                                                       =1 if floor are good\n",
       "dis                                                         =1 if disable person\n",
       "male                                                                  =1 if male\n",
       "female                                                              =1 if female\n",
       "estadocivil1                                        =1 if less than 10 years old\n",
       "estadocivil2                                        =1 if free or coupled uunion\n",
       "estadocivil3                                                       =1 if married"
      ]
     },
     "execution_count": 31,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "feature_desp.ix[bool_cols[30:60]]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>description</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>F_name</th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>estadocivil4</th>\n",
       "      <td>=1 if divorced</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>estadocivil5</th>\n",
       "      <td>=1 if separated</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>estadocivil6</th>\n",
       "      <td>=1 if widow/er</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>estadocivil7</th>\n",
       "      <td>=1 if single</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>parentesco1</th>\n",
       "      <td>=1 if household head</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>parentesco2</th>\n",
       "      <td>=1 if spouse/partner</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>parentesco3</th>\n",
       "      <td>=1 if son/doughter</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>parentesco4</th>\n",
       "      <td>=1 if stepson/doughter</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>parentesco5</th>\n",
       "      <td>=1 if son/doughter in law</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>parentesco6</th>\n",
       "      <td>=1 if grandson/doughter</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>parentesco7</th>\n",
       "      <td>=1 if mother/father</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>parentesco8</th>\n",
       "      <td>=1 if father/mother in law</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>parentesco9</th>\n",
       "      <td>=1 if brother/sister</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>parentesco10</th>\n",
       "      <td>=1 if brother/sister in law</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>parentesco11</th>\n",
       "      <td>=1 if other family member</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>parentesco12</th>\n",
       "      <td>=1 if other non family member</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>instlevel1</th>\n",
       "      <td>=1 no level of education</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>instlevel2</th>\n",
       "      <td>=1 incomplete primary</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>instlevel3</th>\n",
       "      <td>=1 complete primary</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>instlevel4</th>\n",
       "      <td>=1 incomplete academic secondary level</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>instlevel5</th>\n",
       "      <td>=1 complete academic secondary level</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>instlevel6</th>\n",
       "      <td>=1 incomplete technical secondary level</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>instlevel7</th>\n",
       "      <td>=1 complete technical secondary level</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>instlevel8</th>\n",
       "      <td>=1 undergraduate and higher education</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>instlevel9</th>\n",
       "      <td>=1 postgraduate higher education</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>tipovivi1</th>\n",
       "      <td>=1 own and fully paid house</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>tipovivi2</th>\n",
       "      <td>=1 own  paying in installments</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>tipovivi3</th>\n",
       "      <td>=1 rented</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>tipovivi4</th>\n",
       "      <td>=1 precarious</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>tipovivi5</th>\n",
       "      <td>=1 other(assigned  borrowed)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>computer</th>\n",
       "      <td>=1 if the household has notebook or desktop computer</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>television</th>\n",
       "      <td>=1 if the household has TV</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mobilephone</th>\n",
       "      <td>=1 if mobile phone</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>lugar1</th>\n",
       "      <td>=1 region Central</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>lugar2</th>\n",
       "      <td>=1 region Chorotega</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>lugar3</th>\n",
       "      <td>=1 region PacÃƒÂ­fico central</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>lugar4</th>\n",
       "      <td>=1 region Brunca</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>lugar5</th>\n",
       "      <td>=1 region Huetar AtlÃƒÂ¡ntica</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>lugar6</th>\n",
       "      <td>=1 region Huetar Norte</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>area1</th>\n",
       "      <td>=1 zona urbana</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>area2</th>\n",
       "      <td>=2 zona rural</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>elimbasu5</th>\n",
       "      <td>=1 if rubbish disposal mainly by throwing in river  creek or sea</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                                                    description\n",
       "F_name                                                                         \n",
       "estadocivil4                                                     =1 if divorced\n",
       "estadocivil5                                                    =1 if separated\n",
       "estadocivil6                                                     =1 if widow/er\n",
       "estadocivil7                                                       =1 if single\n",
       "parentesco1                                                =1 if household head\n",
       "parentesco2                                                =1 if spouse/partner\n",
       "parentesco3                                                  =1 if son/doughter\n",
       "parentesco4                                              =1 if stepson/doughter\n",
       "parentesco5                                           =1 if son/doughter in law\n",
       "parentesco6                                             =1 if grandson/doughter\n",
       "parentesco7                                                 =1 if mother/father\n",
       "parentesco8                                          =1 if father/mother in law\n",
       "parentesco9                                                =1 if brother/sister\n",
       "parentesco10                                        =1 if brother/sister in law\n",
       "parentesco11                                          =1 if other family member\n",
       "parentesco12                                      =1 if other non family member\n",
       "instlevel1                                             =1 no level of education\n",
       "instlevel2                                                =1 incomplete primary\n",
       "instlevel3                                                  =1 complete primary\n",
       "instlevel4                               =1 incomplete academic secondary level\n",
       "instlevel5                                 =1 complete academic secondary level\n",
       "instlevel6                              =1 incomplete technical secondary level\n",
       "instlevel7                                =1 complete technical secondary level\n",
       "instlevel8                                =1 undergraduate and higher education\n",
       "instlevel9                                     =1 postgraduate higher education\n",
       "tipovivi1                                           =1 own and fully paid house\n",
       "tipovivi2                                        =1 own  paying in installments\n",
       "tipovivi3                                                             =1 rented\n",
       "tipovivi4                                                         =1 precarious\n",
       "tipovivi5                                          =1 other(assigned  borrowed)\n",
       "computer                   =1 if the household has notebook or desktop computer\n",
       "television                                           =1 if the household has TV\n",
       "mobilephone                                                  =1 if mobile phone\n",
       "lugar1                                                        =1 region Central\n",
       "lugar2                                                      =1 region Chorotega\n",
       "lugar3                                            =1 region PacÃƒÂ­fico central\n",
       "lugar4                                                         =1 region Brunca\n",
       "lugar5                                            =1 region Huetar AtlÃƒÂ¡ntica\n",
       "lugar6                                                   =1 region Huetar Norte\n",
       "area1                                                            =1 zona urbana\n",
       "area2                                                             =2 zona rural\n",
       "elimbasu5      =1 if rubbish disposal mainly by throwing in river  creek or sea"
      ]
     },
     "execution_count": 32,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "feature_desp.ix[bool_cols[60:]]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# (object)类型"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>description</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>F_name</th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>dependency</th>\n",
       "      <td>Dependency rate calculated = (number of members of the household younger than 19 or older than 64)/(number of member of household between 19 and 64)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>edjefe</th>\n",
       "      <td>years of education of male head of household based on the interaction of escolari (years of education) head of household and gender yes=1 and no=0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>edjefa</th>\n",
       "      <td>years of education of female head of household based on the interaction of escolari (years of education) head of household and gender yes=1 and no=0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                                                                                                                                      description\n",
       "F_name                                                                                                                                                           \n",
       "dependency   Dependency rate calculated = (number of members of the household younger than 19 or older than 64)/(number of member of household between 19 and 64)\n",
       "edjefe         years of education of male head of household based on the interaction of escolari (years of education) head of household and gender yes=1 and no=0\n",
       "edjefa       years of education of female head of household based on the interaction of escolari (years of education) head of household and gender yes=1 and no=0"
      ]
     },
     "execution_count": 33,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "feature_desp.loc[['dependency','edjefe','edjefa']]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### fix testset `dependency`,`edjefe`,`edfefa`"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "对测试数据的`dependency`,`edjefe`,`edjefa`进行处理．"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {},
   "outputs": [],
   "source": [
    "test.dependency = test.dependency.replace({\"yes\": 1, \"no\": 0}).astype(np.float64)\n",
    "test.edjefa = test.edjefa.replace({\"yes\": 1, \"no\": 0}).astype(np.float64)\n",
    "test.edjefe = test.edjefe.replace({\"yes\": 1, \"no\": 0}).astype(np.float64)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 304,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "train.to_csv('../fix_train.csv',index = False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 305,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "test.to_csv('../fix_test.csv',index = False)"
   ]
  }
 ],
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